Full Transcript Introduction and background of Dr. Jeff Wiegers.) 0:01 Somewhere now, artificial 0:01 Somewhere now, artificial intelligence is studying your 0:02 intelligence is studying your 0:02 intelligence is studying your symptoms, 0:02 symptoms, 0:02 symptoms, interpreting tests, 0:03 interpreting tests, 0:04 interpreting tests, and in some cases, 0:05 and in some cases, providing clinical 0:05 providing clinical 0:06 providing clinical recommendations. Previously, this 0:07 recommendations. Previously, this 0:08 required years of 0:08 required years of medical training. 0:09 medical training. 0:09 medical training. And here's the thing: 0:10 And here's the thing: 0:10 And here's the thing: most patients 0:11 most patients 0:11 most patients don't even 0:11 don't even 0:11 don't even realize it's 0:12 realize it's 0:12 realize it's happening. Over 80 0:13 happening. Over 80 % of doctors are already 0:14 % of doctors are already 0:14 % of doctors are already using AI in 0:16 using AI in 0:16 using AI in their practice. 0:17 their practice. 0:17 their practice. Patients come 0:18 Patients come 0:18 Patients come to appointments already 0:19 to appointments already 0:21 diagnosed through ChatGPT, and 0:21 diagnosed through ChatGPT, and researchers 0:21 researchers 0:21 researchers use 0:22 use 0:22 use artificial intelligence to 0:23 artificial intelligence to 0:24 artificial intelligence to create peptides from 0:25 create peptides from 0:25 create peptides from scratch—compounds that did 0:26 scratch—compounds that did 0:26 scratch—compounds that did n’t exist before. 0:27 n’t exist before. 0:27 n’t exist before. Created by machines, 0:28 Created by machines, 0:28 Created by machines, they aim to 0:29 they aim to 0:29 they aim to improve human health 0:30 improve human health 0:30 improve human health and extend life 0:31 and extend life 0:31 and extend life . This is not a conversation 0:32 . This is not a conversation 0:32 . This is not a conversation about the future. This is 0:33 about the future. This is 0:33 about the future. This is happening right 0:34 happening right 0:34 happening right now. And this raises 0:35 now. And this raises 0:35 now. And this raises some serious 0:36 some serious 0:36 some serious questions. Who is 0:37 questions. Who is 0:37 questions. Who is responsible 0:38 responsible 0:38 responsible when AI makes mistakes? Is 0:39 when AI makes mistakes? Is 0:40 when AI makes mistakes? Is the doctor being replaced or 0:41 the doctor being replaced or 0:41 the doctor being replaced or simply modernized? 0:42 simply modernized? 0:42 simply modernized? And how to navigate a 0:43 And how to navigate a 0:43 And how to navigate a system that is 0:44 system that is 0:44 system that is being rebuilt in 0:45 being rebuilt in 0:45 being rebuilt in real 0:46 real 0:46 real time? To help 0:47 time? To help 0:47 time? To help us understand 0:48 us understand 0:48 us understand this, today I'm 0:48 this, today I'm 0:48 this, today I'm talking to Dr. 0:49 talking to Dr. 0:49 talking to Dr. Jeffrey Wiggers, a board- 0:50 Jeffrey Wiggers, a board- 0:50 Jeffrey Wiggers, a board- certified 0:51 certified 0:51 certified anesthesiologist, 0:52 anesthesiologist, 0:53 interventional 0:53 interventional pain specialist, who 0:54 pain specialist, who 0:54 pain specialist, who trained at 0:55 trained at 0:55 trained at Cedars-Sinai and works at the 0:56 Cedars-Sinai and works at the 0:56 Cedars-Sinai and works at the forefront of 0:56 forefront of 0:56 forefront of regenerative 0:57 regenerative 0:57 regenerative medicine and 0:57 medicine and 0:58 medicine and advanced 0:58 advanced 0:58 advanced 1:00 biotechnologies. Dr. 1:00 biotechnologies. Dr. Wagers, 1:01 Wagers, 1:01 Wagers, welcome to the show. Let 1:02 welcome to the show. Let 1:02 welcome to the show. Let 's get down to business. 1:03 's get down to business. 1:23 Okay, buddy. Jeff, 1:23 Okay, buddy. Jeff, welcome to the 1:24 welcome to the 1:24 welcome to the show, man. 1:24 show, man. 1:24 show, man. Thank you for inviting me. I'm 1:26 Thank you for inviting me. I'm 1:26 Thank you for inviting me. I'm very happy to be here with 1:27 very happy to be here with 1:27 very happy to be here with you. 1:27 you. 1:27 you. I am grateful. I appreciate it, 1:29 I am grateful. I appreciate it, 1:29 I am grateful. I appreciate it, friend. I know, we 1:30 friend. I know, we 1:30 friend. I know, we talked about this. I 1:31 talked about this. I 1:31 talked about this. I saw you in Cancun, I 1:32 saw you in Cancun, I 1:32 saw you in Cancun, I saw you in Vegas and I 1:33 saw you in Vegas and I 1:33 saw you in Vegas and I thought, "Dude, we 1:33 thought, "Dude, we 1:33 thought, "Dude, we should record a 1:34 should record a 1:34 should record a podcast," and then, in 1:35 podcast," and then, in 1:35 podcast," and then, in typical Greg 1:36 typical Greg 1:36 typical Greg Jones fashion. I didn't 1:36 Jones fashion. I didn't 1:36 Jones fashion. I didn't talk to you for 1:37 talk to you for 1:37 talk to you for about six months, and 1:38 about six months, and 1:38 about six months, and then I wrote: "Hey, I'm 1:39 then I wrote: "Hey, I'm 1:39 then I wrote: "Hey, I'm doing a podcast here, and I 1:40 doing a podcast here, and I 1:40 doing a podcast here, and I want to thank you for 1:41 want to thank you for 1:41 want to thank you for taking the time to do this 1:41 taking the time to do this ." 1:42 ." 1:42 ." You played " 1:42 You played " unavailable" and it 1:43 unavailable" and it 1:43 unavailable" and it worked. So that's it 1:44 worked. So that's it 1:44 worked. So that's it . This...this is my 1:46 . This...this is my 1:46 . This...this is my gift. I can do it. 1:47 gift. I can do it. 1:47 gift. I can do it. This is how I do it. 1:48 This is how I do it. 1:48 This is how I do it. Yes. Like "let's go out to 1:49 Yes. Like "let's go out to 1:49 Yes. Like "let's go out to lunch." Are you in 1:50 lunch." Are you in 1:50 lunch." Are you in California? This is a big 1:51 California? This is a big 1:51 California? This is a big deal. Let's go to 1:52 deal. Let's go to 1:52 deal. Let's go to lunch. Although we are going out 1:53 lunch. Although we are going out 1:53 lunch. Although we are going out for lunch. 1:54 for lunch. 1:54 for lunch. Exactly. 1:54 Exactly. 1:54 Exactly. This never 1:55 This never 1:55 This never happens, man. But 1:56 happens, man. But 1:56 happens, man. But for our listeners... 1:58 for our listeners... Dr. Wagers ( 1:59 Dr. Wagers ( I hope I'm 1:59 I hope I'm 1:59 I hope I'm pronouncing it correctly, 2:01 pronouncing it correctly, 2:01 pronouncing it correctly, because...). Ideally. Yes. 2:02 because...). Ideally. Yes. 2:02 because...). Ideally. Yes. For those of you who are just 2:03 For those of you who are just 2:03 For those of you who are just getting to know me, I 2:04 getting to know me, I 2:04 getting to know me, I want a quick overview: 2:06 want a quick overview: 2:06 want a quick overview: you come from 2:06 you come from 2:06 you come from anesthesiology, 2:07 anesthesiology, 2:07 anesthesiology, interventional pain, 2:09 interventional pain, 2:09 interventional pain, and regenerative 2:10 and regenerative 2:10 and regenerative medicine. This is an 2:11 medicine. This is an 2:11 medicine. This is an atypical path for 2:12 atypical path for 2:13 atypical path for 2:14 medical 2:14 medical school graduates. So, how did 2:15 school graduates. So, how did 2:15 school graduates. So, how did you get to where 2:16 you get to where 2:17 you get to where you are now? 2:17 you are now? 2:17 you are now? Yes, I went to 2:18 Yes, I went to 2:18 Yes, I went to medical school wanting to 2:19 medical school wanting to 2:19 medical school wanting to become a psychiatrist. 2:20 become a psychiatrist. 2:21 become a psychiatrist. I really liked 2:22 I really liked 2:22 I really liked this idea. I think at the 2:23 this idea. I think at the 2:23 this idea. I think at the time it was 2:25 time it was 2:25 time it was just about the brain, the way 2:26 just about the brain, the way 2:26 just about the brain, the way we looked at 2:27 we looked at 2:27 we looked at things—the brain was the 2:28 things—the brain was the 2:28 things—the brain was the most interesting organ 2:29 most interesting organ . It was like the place where 2:30 . It was like the place where 2:33 consciousness seemed to be concentrated. So, I 2:33 consciousness seemed to be concentrated. So, I was fascinated by that 2:34 was fascinated by that 2:34 was fascinated by that aspect. And then it 2:36 aspect. And then it 2:36 aspect. And then it turned out that 2:37 turned out that 2:37 turned out that practicing psychiatry 2:38 practicing psychiatry 2:38 practicing psychiatry was a little, well, 2:39 was a little, well, 2:39 was a little, well, disappointing. These 2:41 disappointing. These 2:41 disappointing. These were pharmaceutical 2:42 were pharmaceutical 2:42 were pharmaceutical prescriptions, and 2:43 prescriptions, and 2:43 prescriptions, and not even necessarily the 2:44 not even necessarily the 2:44 not even necessarily the medications that I 2:45 medications that I 2:45 medications that I thought cured the 2:46 thought cured the 2:46 thought cured the problems. It was 2:48 problems. It was 2:48 problems. It was more of a 2:49 more of a 2:49 more of a symptom management thing, like 2:50 symptom management thing, like 2:50 symptom management thing, like SSRIs and 2:51 SSRIs and 2:51 SSRIs and benzodiazepines. So I 2:53 benzodiazepines. So I 2:53 benzodiazepines. So I was a little 2:53 was a little 2:53 was a little disappointed in 2:54 disappointed in 2:54 disappointed in psychiatry at that 2:55 psychiatry at that 2:55 psychiatry at that point, and then I 2:56 point, and then I 2:56 point, and then I turned my attention to 2:57 turned my attention to 2:57 turned my attention to anesthesiology, and the 2:58 anesthesiology, and the 2:58 anesthesiology, and the drugs worked for these guys 2:59 drugs worked for these guys 2:59 drugs worked for these guys . It was 3:01 . It was 3:01 . It was so obvious when you 3:02 so obvious when you 3:02 so obvious when you watch 3:03 watch 3:03 watch someone go from a conscious 3:04 someone go from a conscious 3:04 someone go from a conscious state to falling asleep that I 3:05 state to falling asleep that I 3:05 state to falling asleep that I could believe it. But 3:07 could believe it. But 3:07 could believe it. But then you get to 3:08 then you get to 3:08 then you get to surgery, and you know, there are 3:09 surgery, and you know, there are 3:10 surgery, and you know, there are great surgeries, there are 3:11 great surgeries, there are 3:11 great surgeries, there are surgeries that I believe in 3:12 surgeries that I believe in 3:12 surgeries that I believe in less, and so that 3:13 less, and so that 3:13 less, and so that pushed me into 3:14 pushed me into 3:14 pushed me into pain management to 3:16 pain management to 3:16 pain management to find solutions for 3:17 find solutions for 3:17 find solutions for pain and 3:18 pain and 3:18 pain and spine problems. And from there, again, there 3:22 spine problems. And from there, again, there 3:22 spine problems. And from there, again, there were 3:23 were 3:23 were issues with 3:24 issues with 3:24 issues with corticosteroids, 3:25 corticosteroids, 3:25 corticosteroids, devices, and things 3:26 devices, and things 3:26 devices, and things that I just didn't 3:27 that I just didn't 3:27 that I just didn't believe in as much, and I 3:28 believe in as much, and I 3:28 believe in as much, and I think that was the 3:29 think that was the 3:29 think that was the approach of 3:30 approach of 3:30 approach of regenerative 3:31 regenerative 3:31 regenerative medicine—working 3:32 medicine—working 3:32 medicine—working with the body 3:33 with the body 3:33 with the body using 3:33 using 3:33 using natural remedies. This is what 3:36 natural remedies. This is what 3:36 natural remedies. This is what brought me to where 3:37 brought me to where 3:37 brought me to where I am now. 3:39 I am now. 3:39 I am now. Wow, that's really cool, 3:41 Wow, that's really cool, 3:41 Wow, that's really cool, dude. I mean, 3:42 dude. I mean, 3:42 dude. I mean, and I like that too 3:43 and I like that too 3:43 and I like that too , 3:44 , 3:44 , based on how 3:45 based on how 3:45 based on how to use 3:46 to use 3:46 to use natural processes? How do 3:47 natural processes? How do 3:47 natural processes? How do we get people 3:48 we get people 3:48 we get people to get better and how do we 3:49 to get better and how do we 3:49 to get better and how do we move away from, well, because 3:50 move away from, well, because 3:50 move away from, well, because obviously, most 3:51 obviously, most 3:51 obviously, most people, when they think 3:52 people, when they think 3:52 people, when they think about pain relief, 3:53 about pain relief, 3:53 about pain relief, they think about steroids 3:54 they think about steroids 3:54 they think about steroids and medications, right? Not 3:55 and medications, right? Not 3:55 and medications, right? Not about how to make 3:56 about how to make 3:56 about how to make yourself feel better 3:57 yourself feel better 3:57 yourself feel better in the long 3:58 in the long 3:58 in the long run. So that's 3:58 run. So that's 3:59 run. So that's really cool that you 3:59 really cool that you 4:00 really cool that you found this, Mark, that's 4:00 found this, Mark, that's 4:01 found this, Mark, that's actually pretty 4:01 actually pretty 4:01 actually pretty cool. Painful states 4:02 cool. Painful states are where people 4:03 are where people 4:03 are where people end up when 4:04 end up when 4:04 end up when they're already at a dead 4:05 they're already at a dead 4:05 they're already at a dead end, right? Other 4:06 end, right? Other 4:06 end, right? Other specialists say: 4:07 specialists say: 4:07 specialists say: we no longer know 4:08 we no longer know 4:08 we no longer know what to do with the patient 4:09 what to do with the patient . They send them to a 4:10 . They send them to a 4:10 . They send them to a pain specialist, an 4:11 pain specialist, an 4:11 pain specialist, an orthopedist: we've 4:12 orthopedist: we've 4:12 orthopedist: we've tried everything, go 4:13 tried everything, go 4:13 tried everything, go to a pain specialist, 4:14 to a pain specialist, 4:14 to a pain specialist, spine specialist or whoever 4:15 spine specialist or whoever 4:15 spine specialist or whoever , many 4:16 , many 4:16 , many of them end up with 4:17 of them end up with 4:17 of them end up with us. And many 4:18 us. And many 4:18 us. And many cases of pain, like 4:19 cases of pain, like 4:21 fibromyalgia, are very 4:21 fibromyalgia, are very mysterious. And I 4:22 mysterious. And I 4:22 mysterious. And I liked the way 4:23 liked the way 4:23 liked the way these 4:24 these 4:24 these tasks were solved. And it also doesn't 4:26 tasks were solved. And it also doesn't 4:26 tasks were solved. And it also doesn't necessarily 4:26 necessarily 4:26 necessarily fit into the 4:27 fit into the 4:27 fit into the traditional medical 4:28 traditional medical 4:28 traditional medical model, where it takes 4:29 model, where it takes 4:29 model, where it takes an hour or two to 4:30 an hour or two to 4:30 an hour or two to just dig into a 4:32 just dig into a 4:34 person's medical history and try to 4:34 person's medical history and try to solve a mystery. 4:35 solve a mystery. 4:35 solve a mystery. So something always 4:36 So something always 4:36 So something always seemed 4:36 seemed 4:36 seemed strange to me about this, and 4:37 strange to me about this, and 4:37 strange to me about this, and now we're in a better 4:38 now we're in a better 4:38 now we're in a better position doing what 4:39 position doing what we're doing. 4:40 we're doing. 4:40 we're doing. Good. Undoubtedly. We 4:42 Good. Undoubtedly. We 4:42 Good. Undoubtedly. We discussed 4:43 discussed 4:43 discussed topics here, you know, and just 4:44 topics here, you know, and just 4:44 topics here, you know, and just corresponded. You
The role of AI in medicine.) 4:46 corresponded. You 4:46 corresponded. You sent me a list 4:47 sent me a list 4:47 sent me a list and I'm like, "Dude, 4:48 and I'm like, "Dude, 4:48 and I'm like, "Dude, let's talk about 4:50 let's talk about 4:50 let's talk about artificial intelligence," because 4:51 artificial intelligence," because 4:51 artificial intelligence," because even in the last 4:52 even in the last 4:52 even in the last year when I started 4:53 year when I started 4:53 year when I started using ChatGPT, 4:54 using ChatGPT, 4:54 using ChatGPT, it was like Google. To 4:55 it was like Google. To 4:55 it was like Google. To me, it's just 4:56 me, it's just 4:56 me, it's just fancy Google. Like, 4:57 fancy Google. Like, 4:57 fancy Google. Like, let me ask 4:58 let me ask 4:58 let me ask a question. And he gives 4:59 a question. And he gives 4:59 a question. And he gives the answer. And now 5:01 the answer. And now 5:01 the answer. And now he does literally 5:02 he does literally 5:02 he does literally everything. And when we 5:03 everything. And when we 5:03 everything. And when we were texting, I 5:04 were texting, I 5:04 were texting, I said, "Dude, I 5:05 said, "Dude, I 5:05 said, "Dude, I go to conferences all the time 5:06 go to conferences all the time 5:06 go to conferences all the time , and this 5:07 , and this 5:07 , and this question comes up over 5:08 question comes up over 5:08 question comes up over and over again, and someone 5:10 and over again, and someone 5:10 and over again, and someone on stage always 5:11 on stage always 5:11 on stage always asks: Will 5:12 asks: Will 5:12 asks: Will artificial intelligence replace us 5:14 artificial intelligence replace us 5:14 artificial intelligence replace us as doctors?" And now, this is 5:15 as doctors?" And now, this is 5:15 as doctors?" And now, this is such a poignant moment. 5:16 such a poignant moment. 5:16 such a poignant moment. This is our position. And we 5:18 This is our position. And we 5:18 This is our position. And we know where it's all 5:19 know where it's all 5:19 know where it's all going. This is just 5:20 going. This is just 5:20 going. This is just madness. I saw 5:21 madness. I saw 5:21 madness. I saw this podcast. Maybe 5:22 this podcast. Maybe 5:22 this podcast. Maybe it was Joe Rogan. There 5:24 it was Joe Rogan. There 5:24 it was Joe Rogan. There was a guy there who 5:25 was a guy there who 5:25 was a guy there who said, "Right now, at the 5:26 said, "Right now, at the 5:26 said, "Right now, at the stage we're at, you 5:27 stage we're at, you 5:27 stage we're at, you can 5:28 can 5:28 can access Claude or 5:29 access Claude or 5:29 access Claude or other models and have a 5:30 other models and have a 5:35 world-class doctor, lawyer, or accountant at your fingertips." But 5:35 world-class doctor, lawyer, or accountant at your fingertips." But for us as 5:36 for us as 5:36 for us as clinicians, are we 5:37 clinicians, are we 5:37 clinicians, are we already moving into the 5:38 already moving into the 5:38 already moving into the past? Will we 5:39 past? Will we 5:39 past? Will we be replaced? 5:40 be replaced? 5:40 be replaced? I saw it too. 5:41 I saw it too. 5:41 I saw it too. Actually, it was 5:42 Actually, it was 5:42 Actually, it was Marc Andreessen. 5:43 Marc Andreessen. 5:43 Marc Andreessen. Yes. Yes. Yes. And he is 5:45 Yes. Yes. Yes. And he is 5:45 Yes. Yes. Yes. And he is right. There 5:46 right. There 5:46 right. There are so many 5:47 are so many 5:47 are so many positive and 5:48 positive and 5:48 positive and negative aspects to all of this. 5:49 negative aspects to all of this. 5:49 negative aspects to all of this. I remember when I was 5:50 I remember when I was 5:50 I remember when I was doing anesthesia. 5:52 doing anesthesia. 5:52 doing anesthesia. The first thing I heard about AI 5:54 The first thing I heard about AI was 5:55 was 5:55 was blood pressure monitoring, 5:56 blood pressure monitoring, 5:56 blood pressure monitoring, and we looked at it like 5:57 and we looked at it like 5:57 and we looked at it like ...you know, 5:59 ...you know, 5:59 ...you know, there's software in airplanes that allows the 6:00 there's software in airplanes that allows the 6:00 there's software in airplanes that allows the airplane to 6:01 airplane to 6:01 airplane to mostly fly 6:02 mostly fly 6:02 mostly fly itself. That's how we 6:06 itself. That's how we 6:06 itself. That's how we anesthesiologists looked at it 6:07 anesthesiologists looked at it 6:07 anesthesiologists looked at it : he 6:08 : he 6:08 : he would give signals and 6:09 would give signals and 6:09 would give signals and notify us, but for 6:10 notify us, but for 6:10 notify us, but for the most part we still 6:12 the most part we still 6:12 the most part we still needed to be 6:13 needed to be 6:13 needed to be there as pilots. And it 6:16 there as pilots. And it 6:16 there as pilots. And it seemed like a distant 6:18 seemed like a distant 6:18 seemed like a distant future, but I 6:19 future, but I 6:19 future, but I really think we're 6:20 really think we're 6:20 really think we're at that " 6:21 at that " hockey stick" stage now 6:22 hockey stick" stage now 6:22 hockey stick" stage now where this technology is 6:23 where this technology is 6:23 where this technology is taking off. 6:24 taking off. 6:28 Just to set 6:28 Just to set the context, I think there are 6:29 the context, I think there are 6:30 the context, I think there are two views. There are 6:32 two views. There are 6:32 two views. There are optimistic and 6:33 optimistic and 6:33 optimistic and pessimistic 6:34 pessimistic 6:34 pessimistic views on AI. 6:35 views on AI. 6:37 Optimistic—we'll 6:37 Optimistic—we'll just work with 6:38 just work with 6:38 just work with it. He will be 6:40 it. He will be 6:40 it. He will be there, but people 6:41 there, but people 6:41 there, but people will 6:42 will 6:42 will always be needed. And there is a 6:43 always be needed. And there is a 6:43 always be needed. And there is a pessimistic view 6:44 pessimistic view , which essentially says: no 6:46 , which essentially says: no , we will become completely 6:47 , we will become completely 6:47 , we will become completely unnecessary. We wo 6:49 unnecessary. We wo 6:49 unnecessary. We wo n't be there at all. 6:50 n't be there at all. 6:50 n't be there at all. The truth is usually somewhere in 6:51 The truth is usually somewhere in 6:51 The truth is usually somewhere in the middle. Some 6:53 the middle. Some 6:53 the middle. Some jobs 6:53 jobs 6:53 jobs will likely be 6:54 will likely be 6:54 will likely be cut. There are things that 6:56 cut. There are things that 6:56 cut. There are things that I think 6:57 I think 6:57 I think artificial intelligence can 6:58 artificial intelligence can 6:58 artificial intelligence can do better, and 6:59 do better, and 6:59 do better, and maybe these people 7:00 maybe these people 7:00 maybe these people will find other 7:01 will find other 7:01 will find other uses for them. But there are also places 7:03 uses for them. But there are also places 7:03 uses for them. But there are also places where we 7:04 where we 7:04 where we underestimate 7:04 underestimate 7:04 underestimate people's abilities, and we will 7:06 people's abilities, and we will 7:06 people's abilities, and we will still 7:06 still 7:06 still play our 7:07 play our 7:07 play our part. Physical, 7:10 part. Physical, 7:10 part. Physical, emotional aspects— 7:11 emotional aspects— 7:11 emotional aspects— I think AI 7:12 I think AI 7:12 I think AI will lag behind in this, and there will 7:13 will lag behind in this, and there will 7:13 will lag behind in this, and there will remain certain 7:14 remain certain 7:14 remain certain needs that 7:15 needs that 7:15 needs that only humans can satisfy 7:16 only humans can satisfy 7:16 only humans can satisfy . So, everything 7:18 . So, everything 7:18 . So, everything is developing 7:19 is developing 7:19 is developing extremely quickly. 7:20 extremely quickly. 7:23 I think it's worth talking 7:23 I think it's worth talking about the outlook for 7:24 about the outlook for 7:24 about the outlook for one, five, ten 7:25 one, five, ten 7:25 one, five, ten years, although at the 7:26 years, although at the 7:26 years, although at the current pace it's 7:27 current pace it's 7:29 almost 7:29 almost impossible to look ahead ten years, but 7:30 impossible to look ahead ten years, but 7:30 impossible to look ahead ten years, but we can make predictions for one to five years, 7:31 we can make predictions for one to five years, 7:33 and I would like to 7:33 and I would like to discuss what we 7:34 discuss what we 7:34 discuss what we see now. 7:35 see now. 7:39 Yes. My point is this: 7:39 Yes. My point is this: when I think about 7:41 when I think about 7:41 when I think about AI replacing 7:42 AI replacing 7:42 AI replacing doctors, it sounds 7:43 doctors, it sounds 7:43 doctors, it sounds about the same 7:44 about the same 7:44 about the same as asking: will 7:45 as asking: will 7:45 as asking: will GPS replace drivers? 7:46 GPS replace drivers? 7:47 GPS replace drivers? Let's look 7:48 Let's look 7:48 Let's look at another level, you're in 7:49 at another level, you're in 7:49 at another level, you're in California, this is 7:50 California, this is 7:50 California, this is relevant here. Will 7:51 relevant here. Will 7:51 relevant here. Will Waymo replace drivers? I 7:53 Waymo replace drivers? I 7:53 Waymo replace drivers? I look at it the same 7:54 look at it the same 7:54 look at it the same way: both GPS and Waymo can 7:56 way: both GPS and Waymo can 7:56 way: both GPS and Waymo can drive safer, 7:57 drive safer, 7:57 drive safer, perhaps make fewer 7:59 perhaps make fewer 7:59 perhaps make fewer mistakes. But in the 8:00 mistakes. But in the 8:00 mistakes. But in the GPS analogy, someone is 8:01 GPS analogy, someone is 8:01 GPS analogy, someone is still in the car, and in the 8:03 still in the car, and in the 8:03 still in the car, and in the case of Waymo, someone is 8:04 case of Waymo, someone is 8:04 case of Waymo, someone is still sitting in 8:05 still sitting in 8:05 still sitting in the control 8:06 the control 8:06 the control center, monitoring 8:07 center, monitoring 8:07 center, monitoring what is happening, 8:08 what is happening, 8:08 what is happening, monitoring safety, and 8:10 monitoring safety, and 8:10 monitoring safety, and making decisions in 8:11 making decisions in 8:11 making decisions in unforeseen 8:12 unforeseen 8:12 unforeseen situations. So I don't 8:13 situations. So I don't 8:13 situations. So I don't think it's a replacement. I 8:15 think it's a replacement. I 8:15 think it's a replacement. I think it's 8:15 think it's 8:15 think it's a reinterpretation of the role. 8:17 a reinterpretation of the role. 8:19 I agree 100%, it's like 8:19 I agree 100%, it's like the metaphor with 8:20 the metaphor with 8:20 the metaphor with anesthesiology and an 8:21 anesthesiology and an 8:22 anesthesiology and an airplane: someone is still 8:23 airplane: someone is still 8:23 airplane: someone is still sitting in the 8:24 sitting in the 8:24 sitting in the pilot's seat and the system is giving 8:25 pilot's seat and the system is giving 8:26 pilot's seat and the system is giving us a warning, and 8:27 us a warning, and 8:27 us a warning, and this is definitely the first 8:28 this is definitely the first 8:28 this is definitely the first iteration. That's how we're 8:32 iteration. That's how we're 8:32 iteration. That's how we're putting it into 8:33 putting it into 8:33 putting it into practice right now 8:34 practice right now 8:34 practice right now : it's a kind of 8:38 : it's a kind of 8:38 : it's a kind of assistant. But I see 8:41 assistant. But I see 8:41 assistant. But I see this nuance: if 8:42 this nuance: if 8:43 this nuance: if I have patient data 8:44 I have patient data 8:44 I have patient data and I enter it into AI, and 8:45 and I enter it into AI, and 8:45 and I enter it into AI, and I am the one communicating with 8:46 I am the one communicating with 8:46 I am the one communicating with artificial intelligence, I 8:48 artificial intelligence, I 8:48 artificial intelligence, I usually get a 8:49 usually get a 8:49 usually get a better result. 8:50 better result. 8:52 Then we have 8:52 Then we have patients 8:54 patients 8:54 patients who enter their own 8:55 who enter their own 8:55 who enter their own data and show me 8:56 data and show me what they get. And 8:58 what they get. And 8:58 what they get. And with AI, there is a famous 9:00 with AI, there is a famous 9:00 with AI, there is a famous saying: “garbage 9:01 saying: “garbage 9:01 saying: “garbage in, garbage 9:02 in, garbage 9:02 in, garbage out.” Not that this is 9:04 out.” Not that this is 9:04 out.” Not that this is exactly the case, but 9:05 exactly the case, but 9:05 exactly the case, but if you don't ask 9:06 if you don't ask 9:06 if you don't ask him the right 9:07 him the right 9:07 him the right questions, you can 9:08 questions, you can 9:08 questions, you can end up in a somewhat 9:09 end up in a somewhat 9:09 end up in a somewhat strange situation where 9:10 strange situation where 9:10 strange situation where he becomes overly 9:11 he becomes overly 9:11 he becomes overly positive and 9:11 positive and 9:11 positive and sycophantic, 9:12 sycophantic, 9:12 sycophantic, endorsing everything 9:13 endorsing everything 9:13 endorsing everything you say and 9:14 you say and 9:14 you say and just trying to 9:15 just trying to 9:15 just trying to please. But, uh, I 9:16 please. But, uh, I 9:16 please. But, uh, I still think there's a 9:18 still think there's a 9:18 still think there's a significant discrepancy 9:19 significant discrepancy 9:19 significant discrepancy because right now, at this 9:20 because right now, at this 9:20 because right now, at this point, a specialist in 9:22 point, a specialist in 9:22 point, a specialist in this equation 9:23 this equation 9:23 this equation is still necessary. 9:24 is still necessary. 9:24 is still necessary. So let me 9:25 So let me 9:28 embarrass you a little. 9:28 embarrass you a little. Good. Well, actually, we 9:29 Good. Well, actually, we 9:29 Good. Well, actually, we were talking about a period of 9:30 were talking about a period of 9:30 were talking about a period of one, three, five years — let's say
AIu2019s impact on medical specialties.) 9:32 one, three, five years — let's say five, 9:33 five, 9:33 five, let's stop there, 9:34 let's stop there, 9:34 let's stop there, because given the 9:35 because given the 9:35 because given the pace of AI development, everything 9:36 pace of AI development, everything 9:37 pace of AI development, everything will change. When you 9:39 will change. When you 9:39 will change. When you think about medical 9:40 think about medical 9:40 think about medical specialties, which ones do 9:41 specialties, which ones do 9:41 specialties, which ones do you think 9:43 you think 9:43 you think could, I'm not saying 9:44 could, I'm not saying 9:44 could, I'm not saying disappear, but 9:45 disappear, but 9:45 disappear, but change, right? 9:46 change, right? 9:46 change, right? So, when I 9:47 So, when I 9:47 So, when I listen to 9:48 listen to 9:48 listen to conversations and look at the 9:49 conversations and look at the 9:49 conversations and look at the work 9:50 work 9:50 work being done, the three 9:51 being done, the three 9:51 being done, the three specialties that are 9:52 specialties that are 9:52 specialties that are mentioned most often 9:53 mentioned most often 9:53 mentioned most often are radiology, 9:54 are radiology, 9:54 are radiology, pathology, and 9:55 pathology, and 9:55 pathology, and dermatology, because in 9:56 dermatology, because in 9:56 dermatology, because in radiology, AI is already 9:57 radiology, AI is already 9:57 radiology, AI is already reading these images. 9:58 reading these images. 9:59 reading these images. You know, that's the 10:00 You know, that's the 10:00 You know, that's the thing. So this is just what 10:02 thing. So this is just what I hear in the 10:02 I hear in the 10:02 I hear in the discussions. But in 10:04 discussions. But in 10:04 discussions. But in your opinion, what exactly 10:05 your opinion, what exactly 10:05 your opinion, what exactly will change? I don't want to 10:07 will change? I don't want to 10:07 will change? I don't want to say "will disappear" because 10:08 say "will disappear" because 10:08 say "will disappear" because that's a bit of a bleak 10:09 that's a bit of a bleak 10:09 that's a bit of a bleak way of thinking, but 10:11 way of thinking, but 10:11 way of thinking, but what will change 10:11 what will change 10:11 what will change the fastest? 10:12 the fastest? 10:12 the fastest? No, I think you... 10:14 No, I think you... Actually, I think 10:15 Actually, I think 10:15 Actually, I think those assumptions are 10:16 those assumptions are 10:16 those assumptions are pretty valid. What, 10:18 pretty valid. What, 10:18 pretty valid. What, what is AI best at? 10:19 what is AI best at? 10:19 what is AI best at? Now he's 10:20 Now he's 10:20 Now he's incredible at working 10:21 incredible at working 10:21 incredible at working with data. So, I 10:23 with data. So, I 10:23 with data. So, I mean, in our 10:24 mean, in our 10:24 mean, in our clinic—for 10:24 clinic—for 10:24 clinic—for context, we run a 10:26 context, we run a 10:26 context, we run a 10:27 regenerative 10:27 regenerative medicine clinic, and I would say 10:28 medicine clinic, and I would say 10:28 medicine clinic, and I would say we work in 10:29 we work in 10:29 we work in three areas: 10:30 three areas: 10:30 three areas: sports medicine, 10:31 sports medicine, 10:31 sports medicine, longevity, and also 10:33 longevity, and also 10:33 longevity, and also what we call 10:34 what we call 10:34 what we call complex 10:35 complex 10:35 complex diseases—these are 10:36 diseases—these are 10:36 diseases—these are cases that 10:36 cases that 10:37 cases that fall outside the scope of 10:38 fall outside the scope of 10:38 fall outside the scope of traditional medicine 10:39 traditional medicine : 10:40 : 10:40 : mast cell activation syndrome, 10:41 mast cell activation syndrome, 10:41 mast cell activation syndrome, Lyme disease, the 10:42 Lyme disease, the 10:42 Lyme disease, the microbiome, mold, and 10:43 microbiome, mold, and 10:43 microbiome, mold, and so on. The reason 10:45 so on. The reason 10:45 so on. The reason they are complex 10:46 they are complex 10:46 they are complex is because it is a 10:47 is because it is a 10:47 is because it is a huge clinical 10:48 huge clinical 10:48 huge clinical picture involving 10:49 picture involving 10:49 picture involving many different 10:50 many different 10:50 many different organ systems 10:51 organ systems 10:51 organ systems that needs to be pieced 10:52 that needs to be pieced 10:52 that needs to be pieced together. So there are things in which 10:55 together. So there are things in which 10:55 together. So there are things in which he 10:56 he 10:56 he doesn't even come close to 10:57 doesn't even come close to 10:57 doesn't even come close to matching us, 10:58 matching us, 10:58 matching us, like sports 10:59 like sports 10:59 like sports medicine. Physical 11:02 medicine. Physical 11:02 medicine. Physical manipulations, injections 11:03 manipulations, injections —he doesn't even 11:05 —he doesn't even 11:05 —he doesn't even compete in this yet. But 11:07 compete in this yet. But 11:07 compete in this yet. But when it comes to 11:08 when it comes to 11:08 when it comes to ordering these 11:09 ordering these 11:09 ordering these large-scale 11:10 large-scale 11:10 large-scale laboratory 11:10 laboratory 11:10 laboratory tests, where we 11:11 tests, where we 11:11 tests, where we get a huge 11:13 get a huge 11:13 get a huge amount of data, it can 11:14 amount of data, it can 11:14 amount of data, it can create a 11:14 create a 11:14 create a clinical picture 11:16 clinical picture 11:16 clinical picture that we are not really 11:17 that we are not really 11:17 that we are not really capable of. Uh, so that's 11:20 capable of. Uh, so that's 11:20 capable of. Uh, so that's quite an interesting 11:20 quite an interesting 11:20 quite an interesting direction in which it's 11:22 direction in which it's 11:22 direction in which it's useful at this 11:23 useful at this 11:23 useful at this particular moment. 11:24 particular moment. 11:26 But if I look 11:26 But if I look at what it 11:27 at what it 11:27 at what it threatens, it 11:28 threatens, it 11:28 threatens, it threatens those things 11:29 threatens those things 11:29 threatens those things that don't need a 11:31 that don't need a 11:31 that don't need a human touch. 11:32 human touch. 11:32 human touch. They don't need 11:33 They don't need 11:33 They don't need as much 11:34 as much 11:34 as much interaction with the physical 11:35 interaction with the physical 11:35 interaction with the physical world. You just 11:36 world. You just 11:36 world. You just provide the data and 11:37 provide the data and 11:37 provide the data and let it 11:37 let it 11:37 let it figure it out. 11:38 figure it out. 11:39 figure it out. Um, so I really 11:40 Um, so I really 11:40 Um, so I really think those days 11:41 think those days 11:41 think those days are coming. And I 11:42 are coming. And I 11:42 are coming. And I think the sign is this: 11:43 think the sign is this: 11:43 think the sign is this: if you control 11:44 if you control 11:44 if you control AI, then the next 11:45 AI, then the next 11:45 AI, then the next step is likely 11:47 step is likely 11:47 step is likely to be to replace you. It all 11:48 to be to replace you. It all 11:48 to be to replace you. It all starts with 11:49 starts with 11:49 starts with the absence of AI, then 11:50 the absence of AI, then 11:51 the absence of AI, then AI control, and finally 11:52 AI control, and finally AI displacement. So 11:53 AI displacement. So 11:53 AI displacement. So this is an early signal: 11:54 this is an early signal: 11:54 this is an early signal: if it's encroaching on 11:56 if it's encroaching on 11:56 if it's encroaching on your field, we 11:56 your field, we 11:56 your field, we have to find a 11:57 have to find a 11:57 have to find a way to open up new 11:59 way to open up new 11:59 way to open up new directions. I think there's an 12:01 directions. I think there's an 12:01 directions. I think there's an aspect of it that everything 12:03 aspect of it that everything 12:03 aspect of it that everything that AI threatens 12:04 that AI threatens 12:04 that AI threatens usually also 12:05 usually also 12:05 usually also creates opportunities. 12:06 creates opportunities. 12:09 But my advice to such 12:09 But my advice to such fields: find a 12:10 fields: find a 12:10 fields: find a way to grow 12:12 way to grow 12:12 way to grow to remain 12:13 to remain 12:13 to remain valuable. 12:13 valuable. 12:16 I saw another video that 12:16 I saw another video that mentioned that 12:17 mentioned that ...I forget who it was, 12:18 ...I forget who it was, 12:19 ...I forget who it was, dude. I'm so bad at 12:20 dude. I'm so bad at 12:20 dude. I'm so bad at remembering names. 12:21 remembering names. 12:21 remembering names. I should be 12:22 I should be 12:22 I should be better at this. And that 12:23 better at this. And that 12:23 better at this. And that guy was talking about 12:24 guy was talking about 12:24 guy was talking about how if your 12:25 how if your 12:25 how if your job is to 12:26 job is to 12:26 job is to complete a task, 12:27 complete a task, 12:27 complete a task, you're probably going 12:28 you're probably going 12:28 you're probably going to lose that job, 12:29 to lose that job, 12:29 to lose that job, because that's what 12:30 because that's what 12:30 because that's what AI is best at— 12:31 AI is best at— 12:31 AI is best at— complete tasks, 12:32 complete tasks, 12:32 complete tasks, right? If you're just 12:33 right? If you're just 12:33 right? If you're just at the end of 12:34 at the end of 12:34 at the end of the spectrum, doing 12:35 the spectrum, doing 12:35 the spectrum, doing tasks and it's not 12:36 tasks and it's not 12:36 tasks and it's not physical labor with 12:37 physical labor with 12:37 physical labor with your hands, maybe...but 12:38 your hands, maybe...but 12:38 your hands, maybe...but again, I say 12:39 again, I say 12:39 again, I say that because, like, an AI 12:40 that because, like, an AI robot can't take 12:41 robot can't take 12:41 robot can't take blood, but China already 12:42 blood, but China already 12:42 blood, but China already has these damn things that 12:43 has these damn things that 12:43 has these damn things that cut hair. 12:44 cut hair. 12:44 cut hair. They literally 12:44 They literally 12:44 They literally do haircuts, 12:45 do haircuts, 12:45 do haircuts, use 12:45 use 12:45 use razors, everything according to the full 12:46 razors, everything according to the full 12:46 razors, everything according to the full program. I'm like: we 12:47 program. I'm like: we 12:47 program. I'm like: we can do this. You 12:48 can do this. You 12:48 can do this. You can probably draw 12:50 can probably draw 12:50 can probably draw blood, right? It's 12:51 blood, right? It's 12:51 blood, right? It's just a matter of 12:51 just a matter of 12:51 just a matter of technique, right? 12:52 technique, right? 12:52 technique, right? But I do 12:54 But I do 12:54 But I do n't really want to, 12:54 n't really want to, 12:54 n't really want to, even though it's kind of a 12:55 even though it's kind of a 12:55 even though it's kind of a task. 12:56 task. 12:56 task. You know what's 12:57 You know what's 12:57 You know what's crazy about this? When I 12:58 crazy about this? When I 12:58 crazy about this? When I was in college, 12:59 was in college, 12:59 was in college, if I had to 13:00 if I had to 13:00 if I had to bet on what I 13:01 bet on what I 13:01 bet on what I thought was the 13:01 thought was the 13:01 thought was the safest 13:02 safest 13:02 safest career at the time, 13:03 career at the time, 13:03 career at the time, it would be computer 13:04 it would be computer 13:04 it would be computer engineering. Everyone said it was a 13:06 engineering. Everyone said it was a 13:08 rapidly developing technology , a high-paying 13:09 , a high-paying 13:09 , a high-paying job, computer 13:10 job, computer 13:10 job, computer science. We will 13:11 science. We will 13:11 science. We will need so 13:12 need so 13:12 need so many programmers. The 13:13 many programmers. The 13:13 many programmers. The irony is that the 13:14 irony is that the 13:14 irony is that the first thing 13:15 first thing 13:15 first thing AI threatens is computer 13:16 AI threatens is computer 13:16 AI threatens is computer science. These are the very people 13:18 science. These are the very people who created it. And so 13:20 who created it. And so 13:21 who created it. And so I was very 13:22 I was very 13:22 I was very wrong about that. 13:23 wrong about that. 13:24 wrong about that. If I had to 13:25 If I had to 13:25 If I had to make the same bet 13:26 make the same bet 13:26 make the same bet in medicine right 13:27 in medicine right 13:27 in medicine right now, I would bet on 13:29 now, I would bet on 13:29 now, I would bet on surgeons. I would say 13:30 surgeons. I would say 13:30 surgeons. I would say these guys are the 13:31 these guys are the 13:31 these guys are the safest, that's for 13:32 safest, that's for 13:32 safest, that's for sure. But given what 13:33 sure. But given what 13:33 sure. But given what you were talking about 13:34 you were talking about 13:35 you were talking about with the haircuts, there are already 13:35 with the haircuts, there are already 13:36 with the haircuts, there are already 13:37 trials underway, 13:37 trials underway, for example, the Da Vinci robot 13:38 for example, the Da Vinci robot 13:38 for example, the Da Vinci robot or some of these 13:39 or some of these 13:39 or some of these robotic machines 13:40 robotic machines 13:40 robotic machines that do 13:41 that do 13:41 that do operations on, say, the 13:42 operations on, say, the 13:42 operations on, say, the gallbladder. And 13:44 gallbladder. And 13:46 I thought this would be 13:46 I thought this would be much later in 13:47 much later in 13:47 much later in the development of AI, but it 13:48 the development of AI, but it 13:48 the development of AI, but it seems we're already 13:50 seems we're already 13:50 seems we're already seeing early failures. 13:51 seeing early failures. 13:51 seeing early failures. Everything is leading up to this. It all comes down to 13:52 Everything is leading up to this. It all comes down to 13:52 Everything is leading up to this. It all comes down to , you know, 13:53 , you know, 13:53 , you know, and I think the person 13:55 and I think the person 13:55 and I think the person who's doing the task, 13:56 who's doing the task, 13:56 who's doing the task, if you're on the task- 13:57 if you're on the task- 13:57 if you're on the task- doing end of the spectrum 13:58 doing end of the spectrum 13:58 doing end of the spectrum , you're at the 13:59 , you're at the 13:59 , you're at the most risk 14:00 most risk , but if you're the one who's 14:01 , but if you're the one who's 14:01 , but if you're the one who's creating the task, 14:02 creating the task, 14:02 creating the task, programming it, or 14:03 programming it, or 14:03 programming it, or managing it, then you're 14:04 managing it, then you're 14:04 managing it, then you're relatively safe, 14:05 relatively safe, 14:05 relatively safe, but you have to 14:06 but you have to 14:06 but you have to learn 14:07 learn 14:07 learn to use AI 14:08 to use AI 14:08 to use AI for that part. 14:09 for that part. 14:09 for that part. Agree. 14:10 Agree. 14:10 Agree. That's right. And this, by the way, is a 14:11 That's right. And this, by the way, is a rather awkward 14:13 rather awkward 14:13 rather awkward transition to what we 14:14 transition to what we 14:14 transition to what we see here in the clinic. 14:15 see here in the clinic. 14:15 see here in the clinic. Because, I think,
Patient empowerment through AI.) 14:17 Because, I think, 14:17 Because, I think, studies 14:18 studies 14:18 studies show that about 14:19 show that about 14:19 show that about 76% (if I look at the 14:23 76% (if I look at the 14:23 76% (if I look at the studies I 14:24 studies I 14:24 studies I will refer to, it's 14:25 will refer to, it's 14:25 will refer to, it's about 76%) of patients 14:26 about 76%) of patients 14:29 have already 14:29 have already uploaded their 14:30 uploaded their 14:30 uploaded their tests to ChatGPT or 14:31 tests to ChatGPT or 14:31 tests to ChatGPT or another AI before visiting the doctor. They 14:32 another AI before visiting the doctor. They 14:32 another AI before visiting the doctor. They have already entered their 14:33 have already entered their 14:33 have already entered their results there; they 14:34 results there; they 14:34 results there; they viewed health content 14:34 viewed health content 14:36 created by artificial 14:36 created by artificial intelligence. They 14:37 intelligence. They 14:37 intelligence. They ask, "Give me the 14:38 ask, "Give me the 14:38 ask, "Give me the differential 14:39 differential 14:39 differential diagnosis, what is the 14:40 diagnosis, what is the 14:40 diagnosis, what is the treatment plan, what are the 14:40 treatment plan, what are the 14:40 treatment plan, what are the supplements?" He 14:41 supplements?" He 14:41 supplements?" He even releases brands, and people 14:43 even releases brands, and people 14:43 even releases brands, and people come to us 14:44 come to us 14:44 come to us with that. So, it 14:45 with that. So, it 14:45 with that. So, it happens quickly. 14:46 happens quickly. 14:47 happens quickly. Given what you 14:48 Given what you 14:48 Given what you see in Bio Reset, how does it 14:49 see in Bio Reset, how does it 14:49 see in Bio Reset, how does it change your 14:51 change your 14:51 change your work dynamics? Is this good? Is this 14:52 work dynamics? Is this good? Is this 14:52 work dynamics? Is this good? Is this bad? Is it a little bit of both 14:54 bad? Is it a little bit of both 14:54 bad? Is it a little bit of both ? 14:55 ? 14:57 Personally, I 14:57 Personally, I even 14:58 even 14:58 even like it now. Um, there 15:01 like it now. Um, there 15:01 like it now. Um, there are often 15:02 are often 15:02 are often some difficulties, but 15:03 some difficulties, but 15:03 some difficulties, but at this time it 15:04 at this time it 15:04 at this time it usually doesn't catch 15:05 usually doesn't catch 15:05 usually doesn't catch me by surprise with 15:06 me by surprise with 15:06 me by surprise with something I didn't 15:07 something I didn't 15:07 something I didn't know about. I mean, there's 15:13 know about. I mean, there's 15:13 know about. I mean, there's some 15:14 some 15:14 some merit to Bio Reset in that; Many 15:15 merit to Bio Reset in that; Many 15:15 merit to Bio Reset in that; Many people in the 15:16 people in the 15:16 people in the longevity field and in the 15:17 longevity field and in the 15:17 longevity field and in the space where we 15:18 space where we 15:18 space where we work have their 15:19 work have their 15:19 work have their finger on the pulse of 15:20 finger on the pulse of 15:20 finger on the pulse of cutting-edge technology 15:22 cutting-edge technology , we tend to think 15:23 , we tend to think 15:23 , we tend to think outside the box, just as 15:24 outside the box, just as 15:26 AI often thinks—very 15:26 AI often thinks—very broadly, encompassing 15:27 broadly, encompassing 15:27 broadly, encompassing different systems, and it's 15:28 different systems, and it's 15:28 different systems, and it's often a holistic 15:29 often a holistic 15:29 often a holistic approach. You went with 15:33 approach. You went with 15:33 approach. You went with me to some of these 15:35 me to some of these 15:35 me to some of these conferences. There are very 15:37 conferences. There are very 15:37 conferences. There are very innovative people there who 15:38 innovative people there who 15:38 innovative people there who keep an eye on what 15:39 keep an eye on what 15:39 keep an eye on what everyone else is doing. So 15:42 everyone else is doing. So 15:42 everyone else is doing. So when my patients 15:43 when my patients 15:43 when my patients come in with 15:44 come in with 15:44 come in with information from AI, I 15:45 information from AI, I 15:45 information from AI, I think it often 15:46 think it often 15:46 think it often helps us move more quickly 15:47 helps us move more quickly 15:47 helps us move more quickly into a more 15:48 into a more 15:48 into a more meaningful conversation 15:50 meaningful conversation 15:50 meaningful conversation because they already 15:51 because they already 15:51 because they already have the background knowledge. 15:52 have the background knowledge. 15:54 Interestingly, I have been 15:54 Interestingly, I have been outside the 15:55 outside the 15:55 outside the traditional system 15:57 traditional system 15:57 traditional system in the private 15:57 in the private 15:57 in the private medical sector for some time now. I 16:00 medical sector for some time now. I 16:00 medical sector for some time now. I see the situation here being 16:01 see the situation here being 16:01 see the situation here being a little different, and I think 16:03 a little different, and I think 16:03 a little different, and I think some of these doctors 16:04 some of these doctors 16:04 some of these doctors might be a little 16:05 might be a little 16:05 might be a little more irritated, 16:06 more irritated, 16:06 more irritated, because I know for a fact that 16:08 because I know for a fact that 16:08 because I know for a fact that they don't 16:09 they don't 16:09 they don't prescribe supplements as often. 16:10 prescribe supplements as often. 16:10 prescribe supplements as often. They probably don't 16:11 They probably don't 16:11 They probably don't want to talk about 16:12 want to talk about 16:12 want to talk about peptides because, 16:13 peptides because, 16:13 peptides because, you know, they just 16:14 you know, they just 16:14 you know, they just live normal 16:15 live normal 16:15 live normal lives, spend time 16:16 lives, spend time 16:16 lives, spend time with their kids, do 16:17 with their kids, do 16:17 with their kids, do their own thing, and don't 16:18 their own thing, and don't 16:18 their own thing, and don't do all this 16:19 do all this 16:19 do all this extra 16:20 extra 16:20 extra education. Like some of 16:21 education. Like some of 16:21 education. Like some of us crazy 16:22 us crazy 16:22 us crazy people. So I think there 16:24 people. So I think there 16:24 people. So I think there are some 16:25 are some 16:25 are some factors here: the more 16:26 factors here: the more 16:26 factors here: the more you follow 16:27 you follow 16:27 you follow cutting-edge 16:28 cutting-edge 16:28 cutting-edge developments, the less 16:29 developments, the less 16:29 developments, the less I think you worry about 16:31 I think you worry about 16:31 I think you worry about 16:32 patients using AI. 16:35 Yeah, I agree with that too 16:35 Yeah, I agree with that too , dude. And it 16:36 , dude. And it 16:36 , dude. And it 's interesting to look at 16:37 's interesting to look at 16:38 's interesting to look at some of the data here, like when 16:39 some of the data here, like when 16:39 some of the data here, like when I was preparing for 16:40 I was preparing for 16:40 I was preparing for our conversation. The AMA 16:42 our conversation. The AMA 16:42 our conversation. The AMA published an article 16:43 published an article 16:43 published an article in which the majority—there 16:44 in which the majority—there 16:44 in which the majority—there were a bunch of patients there, 16:46 were a bunch of patients there, 16:46 were a bunch of patients there, I would say over 50% 16:47 I would say over 50% —expressed 16:48 —expressed 16:48 —expressed concerns about 16:49 concerns about 16:49 concerns about 16:51 patients using AI to 16:51 patients using AI to interpret 16:52 interpret 16:52 interpret complex results 16:54 complex results 16:54 complex results without a doctor's supervision. 16:55 without a doctor's supervision. 16:55 without a doctor's supervision. That is, you can't 16:56 That is, you can't 16:56 That is, you can't use AI 16:57 use AI 16:58 use AI to diagnose cancer, 16:59 to diagnose cancer, 16:59 to diagnose cancer, because it's a very complex 17:00 because it's a very complex 17:00 because it's a very complex diagnosis, and I 17:01 diagnosis, and I 17:01 diagnosis, and I agree with that. But here's what's 17:03 agree with that. But here's what's 17:03 agree with that. But here's what's interesting: another paper came out 17:04 interesting: another paper came out 17:04 interesting: another paper came out , a 17:05 , a 17:05 , a 17:06 Stanford and 17:06 Stanford and Harvard study, which 17:07 Harvard study, which 17:07 Harvard study, which showed that AI 17:08 showed that AI 17:08 showed that AI actually performs 17:09 actually performs 17:09 actually performs worse when it has to 17:10 worse when it has to 17:10 worse when it has to work 17:11 work 17:11 work with incomplete 17:12 with incomplete 17:12 with incomplete information or 17:13 information or 17:13 information or revise decisions 17:14 revise decisions 17:14 revise decisions on the fly. And these are our 17:16 on the fly. And these are our 17:16 on the fly. And these are our real clinical 17:17 real clinical 17:17 real clinical cases, where you 17:18 cases, where you 17:18 cases, where you think it's one thing, and 17:20 think it's one thing, and 17:20 think it's one thing, and then it turns out to be 17:21 then it turns out to be 17:21 then it turns out to be this, and you learn 17:22 this, and you learn 17:22 this, and you learn about it in 17:23 about it in 17:23 about it in real time. 17:24 real time. 17:25 real time. Yes. There is a very interesting 17:26 Yes. There is a very interesting 17:26 Yes. There is a very interesting example. Before 17:29 example. Before 17:29 example. Before we even started, I was thinking 17:31 we even started, I was thinking 17:31 we even started, I was thinking about presenting 17:32 about presenting 17:32 about presenting two scenarios: a 17:33 two scenarios: a 17:33 two scenarios: a positive and a 17:34 positive and a 17:34 positive and a negative one regarding the 17:35 negative one regarding the 17:35 negative one regarding the use of AI. 17:36 use of AI. 17:38 There is a condition 17:38 There is a condition called 17:39 called 17:39 called craniocervical 17:40 craniocervical 17:40 craniocervical instability that 17:41 instability that 17:41 instability that occurs in the cervical 17:42 occurs in the cervical 17:42 occurs in the cervical spine. 17:45 spine. 17:45 spine. Some people may 17:46 Some people may 17:46 Some people may experience 17:46 experience 17:46 experience instability between the C1 17:48 instability between the C1 17:48 instability between the C1 and C2 vertebrae, which can 17:49 and C2 vertebrae, which can 17:49 and C2 vertebrae, which can cause a range of 17:50 cause a range of 17:50 cause a range of neurological 17:51 neurological 17:51 neurological symptoms and 17:52 symptoms and 17:52 symptoms and headaches. And it 17:55 headaches. And it 17:55 headaches. And it has a whole spectrum of 17:56 has a whole spectrum of 17:56 has a whole spectrum of manifestations, but 17:56 manifestations, but 17:56 manifestations, but it is 17:58 it is 17:58 it is very difficult to diagnose. This 18:00 very difficult to diagnose. This 18:00 very difficult to diagnose. This requires many 18:01 requires many 18:01 requires many specific 18:02 specific 18:02 specific diagnostic tests 18:03 diagnostic tests , and the breadth of symptoms is 18:05 , and the breadth of symptoms is 18:05 , and the breadth of symptoms is very wide. I 18:08 very wide. I 18:08 very wide. I had many 18:09 had many 18:09 had many patients who read 18:10 patients who read 18:10 patients who read about it on the internet, 18:12 about it on the internet, 18:12 about it on the internet, used AI, and 18:13 used AI, and 18:13 used AI, and 18:15 convinced themselves so much that 18:15 convinced themselves so much that this was exactly what they had— 18:16 this was exactly what they had— craniocervical 18:17 craniocervical 18:17 craniocervical instability—that 18:18 instability—that 18:18 instability—that they started looking for 18:19 they started looking for 18:19 they started looking for a specialist specifically for 18:20 a specialist specifically for 18:20 a specialist specifically for it. They are undergoing 18:21 it. They are undergoing 18:21 it. They are undergoing examination. They 18:22 examination. They 18:22 examination. They potentially get 18:24 potentially get 18:24 potentially get injured in the process, whether 18:25 injured in the process, whether 18:25 injured in the process, whether through surgery or 18:26 through surgery or 18:26 through surgery or through some 18:26 through some 18:26 through some treatment, like 18:28 treatment, like 18:28 treatment, like physical therapy, that 18:28 physical therapy, that 18:28 physical therapy, that might be too 18:29 might be too 18:29 might be too intense or 18:30 intense or 18:30 intense or something like that. But 18:31 something like that. But 18:31 something like that. But what they don't 18:32 what they don't 18:32 what they don't think about is, is it the 18:33 think about is, is it the 18:33 think about is, is it the microbiome? Is 18:34 microbiome? Is 18:34 microbiome? Is this some kind of toxin? And I 18:36 this some kind of toxin? And I 18:36 this some kind of toxin? And I think AI 18:37 think AI 18:37 think AI is fixating on 18:38 is fixating on 18:38 is fixating on this diagnosis, which 18:39 this diagnosis, which 18:39 this diagnosis, which only reinforces it. 18:40 only reinforces it. 18:43 For me, this is an example 18:43 For me, this is an example of when I 18:44 of when I 18:44 of when I had to 18:44 had to 18:45 had to talk people out of 18:46 talk people out of 18:46 talk people out of it, because I've worked with 18:47 it, because I've worked with 18:47 it, because I've worked with these tests and I know the 18:48 these tests and I know the 18:48 these tests and I know the criteria, and I've seen 18:49 criteria, and I've seen 18:49 criteria, and I've seen a lot of 18:50 a lot of 18:50 a lot of misdiagnoses. On the other 18:53 misdiagnoses. On the other 18:53 misdiagnoses. On the other hand, a positive 18:54 hand, a positive 18:54 hand, a positive use case 18:56 use case : I, for example, know 18:57 : I, for example, know 18:57 : I, for example, know that stem 18:58 that stem 18:58 that stem cells are becoming a 18:59 cells are becoming a 18:59 cells are becoming a super popular 19:00 super popular 19:00 super popular method in the field of 19:01 method in the field of 19:01 method in the field of regenerative 19:02 regenerative 19:02 regenerative medicine. They became 19:04 medicine. They became 19:04 medicine. They became popular partly 19:05 popular partly 19:05 popular partly thanks to AI. There 19:07 thanks to AI. There 19:09 was a dead end in the stem cell field where 19:09 was a dead end in the stem cell field where people said, "Oh, these are 19:10 people said, "Oh, these are 19:10 people said, "Oh, these are mesenchymal 19:11 mesenchymal 19:11 mesenchymal cells, they're 19:12 cells, they're 19:12 cells, they're not really 19:12 not really 19:12 not really pluripotent, they 19:13 pluripotent, they 19:13 pluripotent, they can't 19:14 can't 19:14 can't transform and 19:15 transform and 19:15 transform and take root in the 19:16 take root in the 19:16 take root in the body." And 19:17 body." And 19:17 body." And patients start 19:18 patients start 19:18 patients start asking the AI, "Are there 19:19 asking the AI, "Are there 19:19 asking the AI, "Are there any pluripotent 19:20 any pluripotent 19:20 any pluripotent cells?" 19:24 cells?" 19:24 cells?" Marie Dava's research on mucosal cells 19:25 Marie Dava's research on mucosal cells 19:27 was buried in 19:27 was buried in the literature, and it was 19:28 the literature, and it was 19:28 the literature, and it was thanks to AI and 19:29 thanks to AI and 19:29 thanks to AI and human inquiry that they were 19:30 human inquiry that they were 19:30 human inquiry that they were rediscovered, realizing 19:32 rediscovered, realizing 19:32 rediscovered, realizing that they had been 19:33 that they had been 19:33 that they had been underestimated all along. So I 19:37 underestimated all along. So I 19:37 underestimated all along. So I think there's a 19:38 think there's a 19:38 think there's a positive aspect to it 19:39 positive aspect to it 19:39 positive aspect to it that helps people, 19:40 that helps people, 19:40 that helps people, say, with 19:42 say, with 19:42 say, with mold toxins or things 19:43 mold toxins or things 19:43 mold toxins or things that your regular 19:44 that your regular 19:44 that your regular doctor might not know about. 19:46 doctor might not know about. 19:48 Now they 19:48 Now they learn that this 19:49 learn that this 19:49 learn that this may be an option, 19:50 may be an option, 19:50 may be an option, but at the same time they 19:51 but at the same time they 19:51 but at the same time they may get a 19:52 may get a 19:52 may get a misdiagnosis—this 19:53 misdiagnosis—this 19:53 misdiagnosis—this leads to 19:54 leads to 19:54 leads to overdiagnosis of 19:55 overdiagnosis of 19:55 overdiagnosis of certain problems. 19:56 certain problems. 19:58 Yes. And, man, I have to 19:58 Yes. And, man, I have to say, I'm very 19:59 say, I'm very 19:59 say, I'm very supportive of a position 20:01 supportive of a position 20:01 supportive of a position that's not based on 20:02 that's not based on 20:02 that's not based on fear, you know? I 20:05 fear, you know? I 20:05 fear, you know? I say that people's access 20:06 say that people's access 20:06 say that people's access to AI democratizes 20:08 to AI democratizes 20:08 to AI democratizes medical information. There are 20:09 medical information. There are 20:12 no 20:12 no restrictions here. Everything is 20:13 restrictions here. Everything is 20:13 restrictions here. Everything is literally before 20:14 literally before 20:14 literally before your eyes. And I think that's 20:15 your eyes. And I think that's 20:15 your eyes. And I think that's important for the less 20:16 important for the less 20:16 important for the less affluent 20:17 affluent 20:17 affluent or people 20:18 or people 20:18 or people who don't have access 20:20 who don't have access 20:20 who don't have access to doctors like 20:21 to doctors like 20:21 to doctors like you or me, where they're 20:22 you or me, where they're 20:22 you or me, where they're only given a short 20:23 only given a short 20:23 only given a short answer. I 20:24 answer. I 20:24 answer. I only had seven minutes 20:25 only had seven minutes 20:25 only had seven minutes with the therapist. Something is 20:26 with the therapist. Something is 20:26 with the therapist. Something is wrong here. I can 20:27 wrong here. I can 20:27 wrong here. I can at least get a 20:28 at least get a 20:28 at least get a direction: "This might 20:29 direction: "This might 20:29 direction: "This might be it" or "Here's something else to look out for 20:31 be it" or "Here's something else to look out for 20:33 ." And they can 20:33 ." And they can come to your clinic or 20:34 come to your clinic or 20:34 come to your clinic or my clinic and 20:35 my clinic and 20:35 my clinic and say, "Wait, I 20:36 say, "Wait, I ...something's wrong. I 20:37 ...something's wrong. I 20:37 ...something's wrong. I saw this, I 20:38 saw this, I 20:38 saw this, I checked something in ChatGPT, can you 20:39 checked something in ChatGPT, can you 20:41 help me?" I think that's 20:41 help me?" I think that's very good, 20:41 very good, 20:41 very good, right? So 20:42 right? So 20:42 right? So 20:43 empowerment is 20:43 empowerment is great, and what you've 20:44 great, and what you've 20:44 great, and what you've been telling about your 20:45 been telling about your 20:45 been telling about your story is amazing. 20:45 story is amazing. 20:46 story is amazing. I think it's all about the 20:47 I think it's all about the 20:47 I think it's all about the fuses, when 20:48 fuses, when 20:48 fuses, when someone, let's say, 20:48 someone, let's say, 20:48 someone, let's say, gets stuck: "I have 20:50 gets stuck: "I have 20:50 gets stuck: "I have this, and the chat..." 20:50 this, and the chat..." 20:50 this, and the chat..." 100% sure that 20:52 100% sure that 20:52 100% sure that I have this, and I'm like: "No. 20:53 I have this, and I'm like: "No. " 20:53 " 20:53 " and it really 20:54 and it really 20:54 and it really reinforces, yes, it 20:55 reinforces, yes, it 20:55 reinforces, yes, it gives you this information 20:56 gives you this information . Oh, of course. I also 20:58 . Oh, of course. I also 20:58 . Oh, of course. I also have this symptom. 20:59 have this symptom. 20:59 have this symptom. Fits perfectly. 21:00 Fits perfectly. 21:01 Fits perfectly. Often he continues to 21:02 Often he continues to 21:02 Often he continues to drive into this corner. And 21:04 drive into this corner. And 21:07 um, I think what you 21:07 um, I think what you said about 21:07 said about 21:07 said about democratization is 21:09 democratization is 21:09 democratization is perfect, because we 21:10 perfect, because we 21:10 perfect, because we know one thing: there is already a 21:11 know one thing: there is already a 21:11 know one thing: there is already a need for therapists,
The future of AI in healthcare.) 21:12 need for therapists, 21:12 need for therapists, doctors, all over the 21:13 doctors, all over the 21:13 doctors, all over the United States. And there 21:16 United States. And there 21:16 United States. And there is even more need for 21:17 is even more need for 21:20 truly high- 21:20 truly high- level specialists and doctors. So, is there a place 21:21 level specialists and doctors. So, is there a place 21:22 level specialists and doctors. So, is there a place for AI? I think 21:23 for AI? I think 21:23 for AI? I think the answer is 100% yes. Are 21:25 the answer is 100% yes. Are 21:25 the answer is 100% yes. Are there any potential 21:26 there any potential 21:26 there any potential downsides? I think a 21:28 downsides? I think a 21:28 downsides? I think a good example would 21:29 good example would 21:29 good example would be a revolution, like the 21:30 be a revolution, like the 21:30 be a revolution, like the advent of the printing 21:31 advent of the printing 21:32 advent of the printing press. Before 21:33 press. Before 21:33 press. Before we could print 21:35 we could print 21:35 we could print books, all information 21:36 books, all information 21:36 books, all information was kind of 21:37 was kind of 21:37 was kind of protected by certain individuals. 21:38 protected by certain individuals. 21:41 And then the printing 21:41 And then the printing press allowed 21:42 press allowed 21:42 press allowed this information to be disseminated 21:43 this information to be disseminated 21:43 this information to be disseminated among the 21:44 among the 21:44 among the population. Could 21:45 population. Could 21:45 population. Could this have had any 21:46 this have had any 21:46 this have had any negative consequences? 21:47 negative consequences? 21:48 negative consequences? Yes, of course. But 21:49 Yes, of course. But 21:49 Yes, of course. But at the same time, 21:50 at the same time, 21:53 yes, I think we'll 21:53 yes, I think we'll see that there 21:54 see that there 21:54 see that there will be downsides, but if we 21:55 will be downsides, but if we 21:55 will be downsides, but if we move in the 21:56 move in the 21:56 move in the right direction, no one is going to 21:57 right direction, no one is going to 21:57 right direction, no one is going to say that we shouldn't have 21:59 say that we shouldn't have 21:59 say that we shouldn't have created the 22:00 created the 22:00 created the printing press, 22:01 printing press, 22:01 printing press, right? So, I think 22:04 right? So, I think 22:04 right? So, I think if we manage it right 22:05 if we manage it right 22:05 if we manage it right , it's a 22:06 , it's a 22:06 , it's a great thing. 22:07 great thing. 22:07 great thing. Yes. So, that's it 22:09 Yes. So, that's it 22:09 Yes. So, that's it , dude. Just kind of the 22:10 , dude. Just kind of the 22:10 , dude. Just kind of the pros and 22:12 pros and 22:12 pros and cons of it. And I'll 22:13 cons of it. And I'll 22:13 cons of it. And I'll summarize this part a little bit 22:14 summarize this part a little bit 22:14 summarize this part a little bit , dude. In 22:15 , dude. In 22:15 , dude. In my opinion, it's as 22:17 my opinion, it's as 22:17 my opinion, it's as simple as possible. It's like 22:18 simple as possible. It's like 22:18 simple as possible. It's like a calculator, right? 22:19 a calculator, right? 22:19 a calculator, right? Using AI for 22:20 Using AI for 22:20 Using AI for our health. It's like 22:21 our health. It's like 22:21 our health. It's like using 22:22 using 22:22 using a calculator for 22:23 a calculator for 22:23 a calculator for finances, dude. He 22:24 finances, dude. He 22:24 finances, dude. He can count faster 22:25 can count faster 22:25 can count faster than any living 22:25 than any living 22:25 than any living person, right? He 22:26 person, right? He 22:26 person, right? He will give a number faster 22:28 will give a number faster 22:28 will give a number faster than any of us. 22:29 than any of us. 22:29 than any of us. Fewer errors, but 22:30 Fewer errors, but 22:30 Fewer errors, but it really can't 22:31 it really can't 22:31 it really can't tell if buying a 22:32 tell if buying a 22:32 tell if buying a house now is a good 22:34 house now is a good 22:34 house now is a good idea 22:34 idea 22:34 idea for your life. He 22:36 for your life. He 22:36 for your life. He might say, “Hey, 22:37 might say, “Hey, 22:37 might say, “Hey, the market is like this,” but he 22:38 the market is like this,” but he 22:38 the market is like this,” but he doesn’t know your 22:38 doesn’t know your 22:38 doesn’t know your finances, right? He doesn't 22:40 finances, right? He doesn't 22:40 finances, right? He doesn't know your nuances. 22:41 know your nuances. 22:41 know your nuances. Doesn't know all these 22:42 Doesn't know all these 22:42 Doesn't know all these things. And I think this 22:43 things. And I think this 22:43 things. And I think this is 22:44 is 22:44 is indispensable for 22:45 indispensable for 22:45 indispensable for many industries at this time. 22:46 many industries at this time. 22:46 many industries at this time. So, I think that's the 22:47 So, I think that's the 22:47 So, I think that's the downside. He doesn't know the 22:48 downside. He doesn't know the 22:48 downside. He doesn't know the whole story, and if 22:50 whole story, and if 22:50 whole story, and if you don't tell it, 22:51 you don't tell it, 22:51 you don't tell it, he won't know it, and. 22:52 he won't know it, and. 22:52 he won't know it, and. Of course, patients 22:53 Of course, patients 22:53 Of course, patients can also sit and not 22:54 can also sit and not 22:54 can also sit and not tell us 22:55 tell us 22:55 tell us everything, but we have... 22:56 everything, but we have... 22:56 everything, but we have... we have a history of 22:56 we have a history of 22:56 we have a history of relationships with these 22:57 relationships with these 22:57 relationships with these patients. We have, 22:58 patients. We have, 22:58 patients. We have, you know, especially if 22:59 you know, especially if 22:59 you know, especially if you've been working with them 23:00 you've been working with them 23:00 you've been working with them for a long time, some knowledge 23:01 for a long time, some knowledge 23:01 for a long time, some knowledge about their family 23:02 about their family 23:02 about their family history that 23:02 history that 23:02 history that helps us make the 23:03 helps us make the 23:03 helps us make the right decision. 23:04 right decision. 23:04 right decision. So I think there 23:05 So I think there 23:05 So I think there needs to be a balance here, 23:06 needs to be a balance here, 23:06 needs to be a balance here, man, and we just 23:07 man, and we just 23:07 man, and we just have to...I think it's like 23:08 have to...I think it's like 23:08 have to...I think it's like this: we shouldn't be 23:09 this: we shouldn't be 23:09 this: we shouldn't be afraid of it. You cannot 23:10 afraid of it. You cannot 23:10 afraid of it. You cannot stop the flow of time; 23:11 stop the flow of time; 23:11 stop the flow of time; you will not call off the dogs of 23:12 you will not call off the dogs of 23:12 you will not call off the dogs of war. This [ __ ] 23:13 war. This [ __ ] 23:13 war. This [ __ ] is coming, isn't 23:14 is coming, isn't 23:14 is coming, isn't it? But we must 23:15 it? But we must 23:15 it? But we must know how to use 23:16 know how to use 23:16 know how to use it, implement 23:17 it, implement 23:17 it, implement it, be careful, 23:17 it, be careful, 23:17 it, be careful, and act wisely. 23:18 and act wisely. 23:18 and act wisely. That's what it all 23:19 That's what it all 23:19 That's what it all comes down to. I, 23:20 comes down to. I, 23:20 comes down to. I, for example, try 23:21 for example, try 23:21 for example, try to learn as much as possible 23:21 to learn as much as possible 23:21 to learn as much as possible . I'm trying 23:22 . I'm trying 23:22 . I'm trying to learn new things. Dude 23:24 to learn new things. Dude , I understand. Choosing 23:25 , I understand. Choosing 23:25 , I understand. Choosing supplements can be 23:26 supplements can be 23:26 supplements can be confusing. 23:26 confusing. 23:26 confusing. There are hundreds of 23:27 There are hundreds of 23:27 There are hundreds of brands. There are 23:28 brands. There are 23:28 brands. There are conflicting claims, and 23:29 conflicting claims, and 23:29 conflicting claims, and it's impossible to know 23:30 it's impossible to know 23:30 it's impossible to know what's actually good and 23:31 what's actually good and 23:31 what's actually good and what will truly make a difference in 23:32 what will truly make a difference in 23:32 what will truly make a difference in your health. 23:33 your health. 23:33 your health. That's why I created 23:34 That's why I created 23:36 Dr. Jones Supplement Store. Every 23:36 Dr. Jones Supplement Store. Every product in the store— 23:37 product in the store— 23:37 product in the store— for energy, 23:38 for energy, 23:38 for energy, gut health, sleep, 23:38 gut health, sleep, 23:38 gut health, sleep, hormonal 23:39 hormonal 23:39 hormonal optimization, 23:40 optimization, 23:40 optimization, recovery, and more—is 23:40 recovery, and more—is personally reviewed 23:41 personally reviewed , tested, and 23:42 , tested, and 23:42 , tested, and recommended. These are the 23:43 recommended. These are the 23:43 recommended. These are the formulas that I 23:44 formulas that I 23:44 formulas that I use myself and 23:44 use myself and 23:45 use myself and recommend to my 23:45 recommend to my 23:45 recommend to my patients, friends, and 23:46 patients, friends, and 23:46 patients, friends, and family. So go 23:47 family. So go 23:47 family. So go to drjonesseupplements.com, 23:48 to drjonesseupplements.com, 23:48 to drjonesseupplements.com, sign up for our 23:49 sign up for our 23:49 sign up for our mailing list, and you'll 23:50 mailing list, and you'll 23:50 mailing list, and you'll get 10% off your 23:51 get 10% off your 23:51 get 10% off your first order. You will 23:52 first order. You will 23:52 first order. You will also receive 23:52 also receive 23:53 also receive exclusive 23:53 exclusive 23:53 exclusive protocols and tips 23:54 protocols and tips 23:54 protocols and tips that I share only 23:55 that I share only 23:55 that I share only with my community. Let's 23:56 with my community. Let's 23:56 with my community. Let's cut through the noise 23:57 cut through the noise 23:57 cut through the noise and choose what 23:58 and choose what 23:58 and choose what really works. 23:59 really works. 24:00 really works. I think everyone is 24:01 I think everyone is 24:01 I think everyone is responsible for 24:02 responsible for 24:02 responsible for themselves, because if you 24:03 themselves, because if you 24:03 themselves, because if you just sit around and 24:04 just sit around and 24:04 just sit around and do what you've 24:05 do what you've 24:05 do what you've always done, you can 24:07 always done, you can 24:07 always done, you can stay on the 24:07 stay on the 24:07 stay on the sidelines of history, 24:08 sidelines of history, 24:08 sidelines of history, no matter what. I think 24:12 no matter what. I think 24:12 no matter what. I think everyone needs to 24:13 everyone needs to 24:13 everyone needs to think about how 24:14 think about how 24:14 think about how to develop new 24:14 to develop new 24:15 to develop new industries with 24:16 industries with 24:16 industries with this technology, and we 24:17 this technology, and we 24:17 this technology, and we have, as you said, 24:18 have, as you said, 24:18 have, as you said, — I don't think we 24:19 — I don't think we 24:19 — I don't think we can stop it, but 24:21 can stop it, but 24:21 can stop it, but we can change 24:22 we can change 24:22 we can change our approach from the 24:23 our approach from the 24:23 our approach from the fear of 24:24 fear of 24:24 fear of it coming. I 24:25 it coming. I 24:25 it coming. I hope it doesn't 24:26 hope it doesn't 24:26 hope it doesn't affect me, you know 24:27 affect me, you know , I hope it 24:28 , I hope it 24:28 , I hope it affects someone 24:29 affects someone 24:29 affects someone else before it affects 24:30 else before it affects 24:30 else before it affects me. I think we should 24:33 me. I think we should 24:33 me. I think we should think about how to 24:34 think about how to 24:34 think about how to adapt our 24:35 adapt our 24:35 adapt our work, because if we 24:36 work, because if we 24:36 work, because if we create new 24:37 create new 24:37 create new sectors, yes, it 24:38 sectors, yes, it 24:38 sectors, yes, it displaces some 24:39 displaces some 24:39 displaces some people, but we can 24:40 people, but we can 24:40 people, but we can easily move them into 24:42 easily move them into 24:42 easily move them into these new areas, whether it's 24:43 these new areas, whether it's 24:43 these new areas, whether it's developing 24:43 developing 24:43 developing robotic 24:44 robotic 24:44 robotic operations or new 24:45 operations or new 24:45 operations or new methodologies. I 24:48 methodologies. I 24:48 methodologies. I mean, what could we 24:49 mean, what could we 24:50 mean, what could we do with these new 24:51 do with these new 24:51 do with these new capabilities, 24:52 capabilities, 24:52 capabilities, instead of 24:53 instead of 24:53 instead of just whining about 24:54 just whining about 24:54 just whining about robots coming, 24:55 robots coming, 24:55 robots coming, taking over everything, or 24:56 taking over everything, or 24:56 taking over everything, or whatever. 24:56 whatever. 24:56 whatever. This is true. This is true. 24:58 This is true. This is true. 24:58 This is true. This is true. So let's 24:59 So let's 24:59 So let's get down to the facts, 25:00 get down to the facts, 25:00 get down to the facts, since we already
AI in clinical practice: opportunities and challenges.) 25:01 since we already 25:01 since we already know where we 25:02 know where we 25:02 know where we are. I saw 25:03 are. I saw 25:03 are. I saw another study 25:04 another study 25:04 another study where it was, I think, 70%, 25:06 where it was, I think, 70%, 25:06 where it was, I think, 70%, maybe over 80%—I'm 25:07 maybe over 80%—I'm 25:10 "fine" with the numbers now. Um, 25:10 "fine" with the numbers now. Um, reports are that 25:11 reports are that 25:11 reports are that doctors are saying they're 25:12 doctors are saying they're 25:12 doctors are saying they're using AI in 25:13 using AI in 25:13 using AI in some form or another, 25:14 some form or another, 25:14 some form or another, right? So, eight out of 25:15 right? So, eight out of 25:15 right? So, eight out of ten doctors 25:16 ten doctors 25:16 ten doctors say, "Yes, I 25:17 say, "Yes, I 25:17 say, "Yes, I use AI somewhere in 25:18 use AI somewhere in 25:18 use AI somewhere in my practice." 25:19 my practice." 25:19 my practice." Truth? And this number is 25:20 Truth? And this number is 25:20 Truth? And this number is twice as high as it 25:21 twice as high as it 25:21 twice as high as it was three years ago. 25:22 was three years ago. 25:23 was three years ago. But what does 25:24 But what does 25:24 But what does AI actually look like in your 25:25 AI actually look like in your 25:25 AI actually look like in your practice? How does it 25:26 practice? How does it 25:26 practice? How does it help you and what do 25:28 help you and what do 25:28 help you and what do you think it 25:29 you think it 25:29 you think it lacks? 25:30 lacks? 25:30 lacks? True. What it's 25:32 True. What it's 25:32 True. What it's particularly 25:32 particularly 25:33 particularly good for us right now is that 25:34 good for us right now is that 25:34 good for us right now is that if you're 25:35 if you're 25:35 if you're working in 25:36 working in 25:36 working in functional or 25:37 functional or 25:37 functional or preventive 25:38 preventive 25:38 preventive medicine, 25:38 medicine, 25:38 medicine, lab panels 25:40 lab panels 25:40 lab panels are becoming much more 25:41 are becoming much more 25:41 are becoming much more sophisticated and 25:42 sophisticated and 25:42 sophisticated and meaningful. Which is 25:44 meaningful. Which is 25:44 meaningful. Which is great. We get a 25:46 great. We get a 25:46 great. We get a ton of data, but 25:47 ton of data, but 25:47 ton of data, but frankly, it's 25:48 frankly, it's 25:48 frankly, it's a little overwhelming. 25:49 a little overwhelming. 25:53 You have a 25:53 You have a B12 abnormality, a high 25:54 B12 abnormality, a high 25:54 B12 abnormality, a high level of C-reactive 25:55 level of C-reactive 25:55 level of C-reactive protein combined with a 25:57 protein combined with a 25:57 protein combined with a certain gene, and an 25:58 certain gene, and an 25:58 certain gene, and an excess of E. 25:59 excess of E. 25:59 excess of E. coli—it's difficult to put together a 26:00 coli—it's difficult to put together a 26:00 coli—it's difficult to put together a holistic 26:01 holistic 26:01 holistic clinical picture from this 26:02 clinical picture from this 26:02 clinical picture from this . AI is already 26:09 . AI is already 26:09 . AI is already better than us at this 26:10 better than us at this — to be honest — and it's 26:11 — to be honest — and it's 26:11 — to be honest — and it's very convenient to 26:12 very convenient to 26:12 very convenient to upload all these 26:13 upload all these 26:13 upload all these analyses into the system 26:14 analyses into the system 26:14 analyses into the system so that it can turn 26:16 so that it can turn 26:16 so that it can turn them into a certain narrative, 26:17 them into a certain narrative, 26:17 them into a certain narrative, even if it's not 100% accurate. 26:18 even if it's not 100% accurate. 26:23 He's not always 26:23 He's not always perfect, and I think 26:24 perfect, and I think 26:24 perfect, and I think treatment plans are 26:25 treatment plans are 26:25 treatment plans are where he can 26:26 where he can 26:26 where he can fit in, but he's 26:27 fit in, but he's 26:27 fit in, but he's good at putting things together 26:28 good at putting things together 26:28 good at putting things together and 26:29 and 26:29 and creating the big 26:30 creating the big 26:30 creating the big picture. There are things that 26:34 picture. There are things that 26:34 picture. There are things that still surprise me 26:35 still surprise me 26:35 still surprise me every day when he says, 26:36 every day when he says, 26:36 every day when he says, "Of course, this indicator 26:37 "Of course, this indicator 26:37 "Of course, this indicator is rejected because a certain 26:39 is rejected because a certain 26:39 is rejected because a certain type of microbiota is a 26:40 type of microbiota is a 26:40 type of microbiota is a cofactor for this 26:41 cofactor for this 26:41 cofactor for this specific 26:42 specific 26:42 specific enzyme." It 26:46 enzyme." It 26:46 enzyme." It connects all of this—it's the 26:47 connects all of this—it's the 26:47 connects all of this—it's the most useful feature right 26:49 most useful feature right 26:49 most useful feature right now when working with 26:50 now when working with 26:50 now when working with large 26:51 large 26:51 large data sets. 26:51 data sets. 26:56 Oh my God. Yes, it already exists. And 26:56 Oh my God. Yes, it already exists. And I guess one more 26:57 I guess one more 26:57 I guess one more question: do 26:57 question: do 26:58 question: do you 26:59 you 26:59 you already use any 27:00 already use any 27:00 already use any transcription services for 27:01 transcription services for 27:01 transcription services for documentation? 27:01 documentation? 27:01 documentation? Yes. Yes. A. 27:03 Yes. Yes. A. 27:03 Yes. Yes. A. Yes. Of course. 27:04 Yes. Of course. 27:04 Yes. Of course. Excellent comment. 27:05 Excellent comment. 27:05 Excellent comment. Yes. 27:05 Yes. 27:05 Yes. Oh man. I can't 27:07 Oh man. I can't 27:08 Oh man. I can't rely on it 27:09 rely on it 27:09 rely on it blindly, but it 27:09 blindly, but it 27:09 blindly, but it saves me an 27:11 saves me an 27:11 saves me an hour to an hour and a half a 27:12 hour to an hour and a half a 27:12 hour to an hour and a half a day because now I 27:13 day because now I 27:13 day because now I can just 27:14 can just 27:14 can just look it up. This 27:16 look it up. This 27:16 look it up. This works in the background 27:17 works in the background 27:17 works in the background , although it constantly 27:18 , although it constantly 27:18 , although it constantly gets the words wrong. 27:19 gets the words wrong. 27:19 gets the words wrong. Dude, I think 27:20 Dude, I think 27:20 Dude, I think I was 27:20 I was 27:20 I was telling 27:21 telling 27:21 telling one of my 27:22 one of my 27:22 one of my friends about this to a patient. I was talking about 27:23 friends about this to a patient. I was talking about 27:23 friends about this to a patient. I was talking about retatrutid, and I somehow 27:24 retatrutid, and I somehow 27:24 retatrutid, and I somehow called it retat. I'm 27:24 called it retat. I'm 27:25 called it retat. I'm like, "You know what? We 27:26 like, "You know what? We 27:26 like, "You know what? We have to stop 27:26 have to stop 27:26 have to stop right now." This is where 27:27 right now." This is where 27:27 right now." This is where I draw the line. Like, 27:29 I draw the line. Like, 27:29 I draw the line. Like, you're putting me in a 27:30 you're putting me in a 27:30 you're putting me in a bad light. Yes. 27:31 bad light. Yes. 27:31 bad light. Yes. This can't be, I 27:32 This can't be, I 27:32 This can't be, I think it's like C max. It 27:33 think it's like C max. It 27:33 think it's like C max. It was like C max, like CWalk. I'm 27:35 was like C max, like CWalk. I'm 27:35 was like C max, like CWalk. I'm like, "This is ridiculous. 27:36 like, "This is ridiculous. 27:36 like, "This is ridiculous. This is just crazy. 27:37 This is just crazy. 27:37 This is just crazy. I can't 27:38 I can't 27:38 I can't let this happen, right?" And 27:39 let this happen, right?" And 27:40 let this happen, right?" And you know, those are the things, 27:41 you know, those are the things, 27:41 you know, those are the things, man. But you seem to have hit the nail on the head 27:42 man. But you seem to have hit the nail on the head 27:42 man. But you seem to have hit the nail on the head , 27:43 , 27:43 , man. It's good for 27:44 man. It's good for 27:44 man. It's good for taking all this 27:45 taking all this 27:45 taking all this complex data and 27:46 complex data and 27:46 complex data and saying, "How do I 27:47 saying, "How do I 27:47 saying, "How do I make sense of this?" 27:48 make sense of this?" 27:48 make sense of this?" But I think the important thing is, you 27:49 But I think the important thing is, you 27:49 But I think the important thing is, you know, I 27:50 know, I 27:50 know, I built the cloud, that's 27:51 built the cloud, that's 27:51 built the cloud, that's my topic, man. And I 27:53 my topic, man. And I 27:53 my topic, man. And I created a model there, 27:54 created a model there, 27:54 created a model there, like a project to 27:54 like a project to 27:54 like a project to help with GI cards, 27:55 help with GI cards, 27:55 help with GI cards, right? And I kind of invested in 27:57 right? And I kind of invested in 27:57 right? And I kind of invested in it, 27:57 it, 27:57 it, but I had to 27:58 but I had to 27:58 but I had to fill it up. I didn't 27:59 fill it up. I didn't 27:59 fill it up. I didn't just say " 28:00 just say " interpret my GI 28:01 interpret my GI charts." I said, here are 28:02 charts." I said, here are 28:02 charts." I said, here are my GI cards. Here is my 28:03 my GI cards. Here is my 28:03 my GI cards. Here is my report that I created 28:05 report that I created 28:05 report that I created for patients. Here is 28:06 for patients. Here is 28:06 for patients. Here is my interpretation. 28:07 my interpretation. 28:07 my interpretation. Here is the training 28:08 Here is the training 28:08 Here is the training documentation. And so 28:09 documentation. And so 28:09 documentation. And so I can 28:10 I can 28:10 I can upload it there. And I 28:11 upload it there. And I 28:11 upload it there. And I test it to see if 28:12 test it to see if 28:12 test it to see if it gives the same answers 28:14 it gives the same answers as I would. That's 28:15 as I would. That's 28:15 as I would. That's pretty close. There are a 28:16 pretty close. There are a 28:16 pretty close. There are a few things 28:17 few things 28:17 few things she misses. I'm 28:18 she misses. I'm 28:18 she misses. I'm like: I probably wouldn't 28:19 like: I probably wouldn't 28:19 like: I probably wouldn't do it 28:19 do it 28:19 do it based on the 28:20 based on the 28:20 based on the patient's history, or she 28:21 patient's history, or she 28:21 patient's history, or she might not know about 28:22 might not know about 28:22 might not know about certain things that we 28:23 certain things that we 28:23 certain things that we use, like 28:24 use, like 28:24 use, like larazid or BPC 157. She 28:25 larazid or BPC 157. She 28:25 larazid or BPC 157. She could be wrong here. 28:26 could be wrong here. 28:26 could be wrong here. But it really 28:27 But it really 28:27 But it really helps speed up the 28:28 helps speed up the 28:28 helps speed up the process. But I think the 28:29 process. But I think the 28:29 process. But I think the important thing is that we 28:30 important thing is that we 28:30 important thing is that we still have to 28:31 still have to 28:31 still have to do the testing 28:31 do the testing to be sure 28:32 to be sure —you can't just 28:33 —you can't just 28:33 —you can't just blindly say, here, 28:34 blindly say, here, 28:34 blindly say, here, take this. 28:34 take this. 28:34 take this. You are 100% right. It's 28:36 You are 100% right. It's 28:36 You are 100% right. It's like the birth of an 28:37 like the birth of an 28:37 like the birth of an all-in-one doctor. 28:38 all-in-one doctor. 28:41 Because if you think about 28:41 Because if you think about medicine, there's a reason why there 28:42 medicine, there's a reason why there 28:42 medicine, there's a reason why there are 28:43 are 28:43 are cardiologists, hepatologists, 28:44 cardiologists, hepatologists, 28:44 cardiologists, hepatologists, and nephrologists. And all 28:48 and nephrologists. And all 28:48 and nephrologists. And all you can 28:49 you can 28:49 you can handle as a human 28:50 handle as a human 28:50 handle as a human is one 28:51 is one 28:52 is one organ system, and then, 28:53 organ system, and then, 28:53 organ system, and then, even more, there's the 28:54 even more, there's the 28:54 even more, there's the cardiologist- 28:54 cardiologist- electrophysiologist. That's 28:56 electrophysiologist. That's 28:56 electrophysiologist. That's how much we've 28:58 how much we've 28:58 how much we've atomized medicine 28:59 atomized medicine 28:59 atomized medicine because of how 29:00 because of how 29:00 because of how detailed it's become. 29:01 detailed it's become. 29:01 detailed it's become. Um, and there's this revolution, 29:03 Um, and there's this revolution, 29:03 Um, and there's this revolution, you know, that 29:04 you know, that 29:04 you know, that you and I are a part of, the movement toward 29:05 you and I are a part of, the movement toward 29:05 you and I are a part of, the movement toward cellular health, when 29:07 cellular health, when 29:07 cellular health, when you think about 29:08 you think about 29:08 you think about mitochondria, you 29:09 mitochondria, you 29:09 mitochondria, you think about cellular 29:10 think about cellular 29:10 think about cellular pathways. You're 29:13 pathways. You're 29:13 pathways. You're getting deeper, but 29:14 getting deeper, but 29:14 getting deeper, but now you need to know 29:15 now you need to know 29:15 now you need to know every system, and it's 29:16 every system, and it's 29:16 every system, and it's impossible to know 29:17 impossible to know 29:17 impossible to know every bacterium in 29:18 every bacterium in 29:18 every bacterium in the gut, its function, 29:20 the gut, its function, 29:20 the gut, its function, and what its 29:21 and what its 29:21 and what its deficiency or excess means. 29:22 deficiency or excess means. 29:24 And this is where, as you 29:24 And this is where, as you say, he does a better job of 29:25 say, he does a better job of 29:27 putting this 29:27 putting this picture together. But what I 29:29 picture together. But what I 29:29 picture together. But what I think it lacks is 29:31 think it lacks is 29:31 think it lacks is that you as a person 29:32 that you as a person 29:32 that you as a person develop your own 29:33 develop your own 29:33 develop your own algorithms in your head: " 29:35 algorithms in your head: " Oh, I remember that 29:36 Oh, I remember that 29:36 Oh, I remember that guy, I did that, and 29:37 guy, I did that, and 29:37 guy, I did that, and it never 29:38 it never 29:38 it never works." You 29:41 works." You 29:41 works." You know, AI doesn't have the 29:42 know, AI doesn't have the 29:42 know, AI doesn't have the practical 29:43 practical 29:43 practical experience to say, 29:45 experience to say, 29:45 experience to say, "No, no, you shouldn't 29:46 "No, no, you shouldn't 29:46 "No, no, you shouldn't start with this. 29:47 start with this. " I just see that 29:50 " I just see that 29:50 " I just see that this person needs a 29:52 this person needs a 29:52 this person needs a delicate approach, 29:53 delicate approach, 29:53 delicate approach, so our intuition and 29:54 so our intuition and 29:54 so our intuition and experience remain 29:55 experience remain 29:55 experience remain very valuable. 29:56 very valuable. 29:58 Oh, definitely. And I'm 29:58 Oh, definitely. And I'm starting to see it 30:00 starting to see it 30:00 starting to see it more as a co- 30:01 more as a co- 30:01 more as a co- pilot, man. It's like 30:02 pilot, man. It's like 30:02 pilot, man. It's like he's sitting in the cockpit with me 30:03 he's sitting in the cockpit with me 30:03 he's sitting in the cockpit with me . I'm flying a 30:04 . I'm flying a 30:04 . I'm flying a plane, but it's good to 30:06 plane, but it's good to 30:06 plane, but it's good to have a second pair of 30:07 have a second pair of 30:07 have a second pair of sensors. It's like, "Hey, 30:08 sensors. It's like, "Hey, 30:08 sensors. It's like, "Hey, you're flying too low, you're 30:09 you're flying too low, you're 30:09 you're flying too low, you're flying too high." I 30:10 flying too high." I 30:10 flying too high." I mean, you're not 30:11 mean, you're not 30:11 mean, you're not arguing with it, 30:12 arguing with it, 30:12 arguing with it, but it's a nice second 30:14 but it's a nice second 30:14 but it's a nice second analytical layer 30:15 analytical layer 30:15 analytical layer that works 30:16 that works 30:16 that works in parallel, especially 30:17 in parallel, especially 30:17 in parallel, especially when you go 30:18 when you go 30:18 when you go through dashboards like 30:19 through dashboards like 30:19 through dashboards like Vibrant, and I love Vibrant, 30:21 Vibrant, and I love Vibrant, 30:21 Vibrant, and I love Vibrant, but some of their reports 30:22 but some of their reports are just... 30:23 are just... 30:23 are just... It's crazy. I had 30:24 It's crazy. I had 30:24 It's crazy. I had never heard of this 30:25 never heard of this 30:25 never heard of this microorganism, 30:27 microorganism, 30:27 microorganism, this gut 30:27 this gut 30:27 this gut microbiome. I look at it 30:29 microbiome. I look at it 30:29 microbiome. I look at it and think, "I don't even 30:30 and think, "I don't even 30:30 and think, "I don't even know what this is or what it 30:31 know what this is or what it 30:31 know what this is or what it does." There are about 30:32 does." There are about 30:32 does." There are about 20 species of Bifidobacterium. And I'm 30:34 20 species of Bifidobacterium. And I'm 30:34 20 species of Bifidobacterium. And I'm like, "Yeah, I'm 30:36 like, "Yeah, I'm 30:36 like, "Yeah, I'm probably already passing here, 30:37 probably already passing here, 30:37 probably already passing here, you know?" It's good to 30:39 you know?" It's good to 30:39 you know?" It's good to have this kind of help, 30:40 have this kind of help, 30:40 have this kind of help, but I think it's best 30:42 but I think it's best 30:42 but I think it's best when we work 30:43 when we work 30:43 when we work together, not when someone 30:44 together, not when someone 30:44 together, not when someone acts blindly. And 30:46 acts blindly. And 30:46 acts blindly. And sometimes it's hard. We all 30:48 sometimes it's hard. We all 30:48 sometimes it's hard. We all have our egos as doctors 30:49 have our egos as doctors 30:49 have our egos as doctors , man. We say, 30:51 , man. We say, 30:51 , man. We say, "Why do I need AI?" "I'm 30:52 "Why do I need AI?" "I'm 30:52 "Why do I need AI?" "I'm smarter than AI." And I 30:53 smarter than AI." And I 30:53 smarter than AI." And I say, "Well, some things 30:55 say, "Well, some things 30:55 say, "Well, some things you haven't seen in a long time, or 30:56 you haven't seen in a long time, or 30:56 you haven't seen in a long time, or this is new data." So I 30:58 this is new data." So I 30:58 this is new data." So I think learning 30:59 think learning 30:59 think learning to use it as a 31:00 to use it as a 31:00 to use it as a co-pilot is where 31:01 co-pilot is where we're really going to 31:02 we're really going to 31:02 we're really going to succeed. And 31:03 succeed. And 31:03 succeed. And accepting it, not being 31:04 accepting it, not being 31:04 accepting it, not being afraid, and not 31:05 afraid, and not 31:05 afraid, and not letting it take 31:06 letting it take 31:06 letting it take control of what 31:07 control of what 31:07 control of what we do is very 31:08 we do is very 31:08 we do is very important. This is 31:09 important. This is 31:09 important. This is extremely important. 31:10 extremely important. 31:10 extremely important. Another direction is 31:12 Another direction is genetics. I 31:13 genetics. I 31:13 genetics. I mean, of course, it's 31:14 mean, of course, it's 31:14 mean, of course, it's about some of 31:15 about some of 31:15 about some of these polymorphisms 31:16 these polymorphisms 31:16 these polymorphisms that you've never 31:17 that you've never 31:17 that you've never heard of, these specific 31:18 heard of, these specific 31:18 heard of, these specific random gene 31:19 random gene 31:19 random gene mutations, and then he 31:20 mutations, and then he 31:20 mutations, and then he finds them, and 31:21 finds them, and 31:21 finds them, and how many 31:22 how many 31:23 how many times has he said, "Oh, 31:24 times has he said, "Oh, 31:24 times has he said, "Oh, you didn't know that? This 31:25 you didn't know that? This 31:25 you didn't know that? This gene mutation... 31:26 gene mutation... of course, this 31:27 of course, this 31:27 of course, this guy has problems with 31:28 guy has problems with 31:28 guy has problems with this 31:28 this 31:28 this micronutrient, 31:29 micronutrient, 31:29 micronutrient, he has this gene 31:30 he has this gene 31:30 he has this gene mutation." I'm like, "I 31:31 mutation." I'm like, "I 31:31 mutation." I'm like, "I would never in my life 31:32 would never in my life 31:32 would never in my life figure this out 31:33 figure this out 31:33 figure this out to know about this 31:34 to know about this 31:34 to know about this certain mutation," uh, 31:35 certain mutation," uh, 31:35 certain mutation," uh, deal with whatever it turns out to be 31:37 deal with whatever it turns out to be 31:37 deal with whatever it turns out to be . So, uh, 31:39 . So, uh, 31:39 . So, uh, and then when it 31:40 and then when it 31:40 and then when it starts to connect 31:41 starts to connect 31:41 starts to connect genes and the microbiome, it's, 31:42 genes and the microbiome, it's, 31:42 genes and the microbiome, it's, it's the end of the game. I 31:44 it's the end of the game. I 31:44 it's the end of the game. I mean, there are too 31:45 mean, there are too 31:45 mean, there are too many aspects to 31:46 many aspects to 31:46 many aspects to know everything. 31:47 know everything. 31:47 know everything. Absolutely, this, this is kind of 31:48 Absolutely, this, this is kind of 31:50 incredible. So 31:50 incredible. So let's move on to, 31:51 let's move on to, 31:51 let's move on to, I mean,
Concerns and risks of AI in diagnostics.) 31:52 I mean, 31:52 I mean, some of the controversies, but 31:53 some of the controversies, but 31:53 some of the controversies, but also some of the concerns 31:54 also some of the concerns 31:54 also some of the concerns that exist, especially as we 31:55 that exist, especially as we 31:55 that exist, especially as we head into this 31:56 head into this 31:56 head into this year, the rest of the year, and 31:57 year, the rest of the year, and 31:57 year, the rest of the year, and next year. So 31:58 next year. So , ECRI, and believe me, I 31:59 , ECRI, and believe me, I 32:00 , ECRI, and believe me, I had to look up what it was 32:01 had to look up what it was 32:01 had to look up what it was because I was taking 32:02 because I was taking 32:02 because I was taking some notes for 32:03 some notes for 32:03 some notes for it. I'm like: it's ECRI 32:04 it. I'm like: it's ECRI , yes, and it was the 32:05 , yes, and it was the 32:07 Emergency 32:07 Emergency Care Research Institute. Uh, and they, 32:08 Care Research Institute. Uh, and they, 32:08 Care Research Institute. Uh, and they, their thing was, you know, 32:09 their thing was, you know, 32:09 their thing was, you know, I was looking at this, this, 32:11 I was looking at this, this, 32:11 I was looking at this, this, this document, this 32:11 this document, this 32:11 this document, this article that they 32:12 article that they 32:12 article that they wrote. It 32:13 wrote. It 32:13 wrote. It mentioned that they 32:14 mentioned that they 32:14 mentioned that they named 32:15 named 32:15 named AI diagnostic risks as the 32:16 AI diagnostic risks as the 32:16 AI diagnostic risks as the top 32:17 top 32:17 top patient safety issue in 32:19 patient safety issue in 32:19 patient safety issue in 2026. It wasn't a 32:20 2026. It wasn't a 32:20 2026. It wasn't a 32:21 misdiagnosis or an 32:21 misdiagnosis or an incorrect prescription; 32:22 incorrect prescription; 32:22 incorrect prescription; It's precisely the incorrect 32:23 It's precisely the incorrect 32:23 It's precisely the incorrect diagnosis of AI that is the 32:24 diagnosis of AI that is the 32:24 diagnosis of AI that is the number one risk, 32:25 number one risk, 32:25 number one risk, right? So if there's a 32:26 right? So if there's a 32:26 right? So if there's a risk, for example, well, 32:27 risk, for example, well, 32:27 risk, for example, well, let me ask 32:29 let me ask 32:29 let me ask you, ask it 32:30 you, ask it 32:30 you, ask it another way: is there a 32:31 another way: is there a 32:31 another way: is there a failure mode that, when it comes 32:32 failure mode that, when it comes 32:32 failure mode that, when it comes to 32:33 to 32:33 to patients 32:33 patients 32:33 patients using AI, 32:34 using AI, 32:35 using AI, you're most concerned about? 32:36 you're most concerned about? 32:36 you're most concerned about? For example, what is 32:37 For example, what is 32:37 For example, what is worth paying attention to, 32:38 worth paying attention to, 32:38 worth paying attention to, what is simply not there yet? 32:40 what is simply not there yet?
Trust and credibility in AI and healthcare.) 32:42 Yeah, I mean, that's a 32:42 Yeah, I mean, that's a good question. I, I 32:44 good question. I, I 32:44 good question. I, I think, from a philosophical 32:45 think, from a philosophical 32:45 think, from a philosophical perspective, you know, 32:46 perspective, you know, 32:46 perspective, you know, during COVID there was so 32:47 during COVID there was so 32:47 during COVID there was so much loss of trust 32:49 much loss of trust 32:49 much loss of trust in the conventional 32:50 in the conventional 32:50 in the conventional medical system that 32:51 medical system that 32:51 medical system that I think that's why, 32:52 I think that's why, 32:52 I think that's why, you know, in the area of 32:53 you know, in the area of 32:53 you know, in the area of peptides and everything 32:54 peptides and everything 32:54 peptides and everything else, people, the 32:55 else, people, the 32:55 else, people, the population has gotten to the point where 32:56 population has gotten to the point where 32:58 they're saying, "I'm 32:58 they're saying, "I'm going to take my health 33:00 going to take my health 33:00 going to take my health into my own hands." I don't 33:02 into my own hands." I don't 33:02 into my own hands." I don't necessarily believe 33:03 necessarily believe 33:03 necessarily believe the doctor. I think there's 33:04 the doctor. I think there's 33:04 the doctor. I think there's more of everything around 33:05 more of everything around 33:05 more of everything around , even some 33:06 , even some 33:06 , even some conspiracy theories, all that other stuff 33:07 conspiracy theories, all that other stuff 33:08 conspiracy theories, all that other stuff . But I think we 33:09 . But I think we 33:09 . But I think we lost, we lost 33:10 lost, we lost 33:10 lost, we lost their trust. We've 33:12 their trust. We've 33:12 their trust. We've lost trust, and I 33:13 lost trust, and I 33:13 lost trust, and I think that comes with 33:15 think that comes with 33:15 think that comes with this danger, 33:16 this danger, 33:16 this danger, now it's them and AI and 33:17 now it's them and AI and 33:17 now it's them and AI and no doctor in the 33:18 no doctor in the 33:18 no doctor in the chain, that's where you 33:19 chain, that's where you 33:19 chain, that's where you can run into 33:20 can run into 33:20 can run into danger. Whereas 33:23 danger. Whereas 33:23 danger. Whereas when you have a 33:24 when you have a 33:24 when you have a professional person, 33:25 professional person, 33:25 professional person, they can say, 33:27 they can say, 33:27 they can say, "Hey, you missed a bit. 33:28 "Hey, you missed a bit. " "It's a little 33:29 " "It's a little 33:29 " "It's a little crazy, or it's 33:30 crazy, or it's 33:30 crazy, or it's too much, and it 33:31 too much, and it 33:31 too much, and it encourages something that, I'm not 33:32 encourages something that, I'm not 33:32 encourages something that, I'm not sure, is 33:33 sure, is 33:33 sure, is right for you." So 33:35 right for you." So , in my opinion, the solution 33:37 , in my opinion, the solution 33:37 , in my opinion, the solution here is for doctors to get 33:38 here is for doctors to get 33:38 here is for doctors to get involved. They
The role of clinicians in AI integration.) 33:40 involved. They 33:40 involved. They need to be trained, and 33:41 need to be trained, and 33:41 need to be trained, and we need to upgrade the 33:42 we need to upgrade the 33:42 we need to upgrade the medical system to a 33:43 medical system to a 33:43 medical system to a level where professionals 33:44 level where professionals 33:44 level where professionals demonstrate their 33:45 demonstrate their 33:45 demonstrate their value and patients are 33:47 value and patients are 33:47 value and patients are satisfied. I think 33:49 satisfied. I think 33:49 satisfied. I think patients would happily 33:50 patients would happily 33:50 patients would happily return to 33:51 return to 33:51 return to doctors if they 33:52 doctors if they 33:52 doctors if they felt improvement 33:53 felt improvement 33:53 felt improvement and believed in the 33:54 and believed in the 33:54 and believed in the treatment methods. 33:55 treatment methods. 33:55 treatment methods. Oh, definitely. And I was also 33:57 Oh, definitely. And I was also 33:57 Oh, definitely. And I was also thinking, 33:58 thinking, 33:58 thinking, man, it's getting better, but 33:59 man, it's getting better, but 33:59 man, it's getting better, but sometimes I input some 34:00 sometimes I input some 34:01 sometimes I input some information. I'm asking 34:02 information. I'm asking 34:02 information. I'm asking a question. I said, " 34:03 a question. I said, " Hey, check your 34:04 Hey, check your 34:04 Hey, check your sources." And he 34:05 sources." And he 34:05 sources." And he was giving out a list of 34:06 was giving out a list of 34:06 was giving out a list of PubMed identifiers, 34:06 PubMed identifiers, 34:07 PubMed identifiers, right? And I started 34:07 right? And I started 34:07 right? And I started checking them. Half 34:08 checking them. Half 34:08 checking them. Half of them were, “What is 34:09 of them were, “What is 34:09 of them were, “What is this? It's not even a 34:10 this? It's not even a 34:10 this? It's not even a real ID. This is 34:11 real ID. This is 34:11 real ID. This is n't even a real article. 34:12 n't even a real article. 34:12 n't even a real article. What is this? Yes? And 34:13 What is this? Yes? And 34:13 What is this? Yes? And I like it. He 34:14 I like it. He 34:14 I like it. He says, "Oh, my mistake. 34:15 says, "Oh, my mistake. " Like "my mistake." 34:16 " Like "my mistake." 34:16 " Like "my mistake." What are you talking about anyway? Yes 34:17 What are you talking about anyway? Yes . 34:17 . 34:17 . Yes. Yes. Yes. 34:18 Yes. Yes. Yes. 34:19 Yes. Yes. Yes. It's real, like I'm 34:19 It's real, like I'm 34:19 It's real, like I'm trying 34:20 trying 34:20 trying to prepare 34:20 to prepare 34:20 to prepare a presentation. Like what? 34:21 a presentation. Like what? 34:21 a presentation. Like what? No, 34:22 No, 34:22 No, my life is not here. Yes. 34:23 my life is not here. Yes. 34:24 my life is not here. Yes. Yes. There is no 34:25 Yes. There is no 34:25 Yes. There is no "my mistake" here. here, and 34:26 "my mistake" here. here, and 34:26 "my mistake" here. here, and I said, “Okay, I 34:26 I said, “Okay, I 34:26 I said, “Okay, I won’t do this anymore 34:27 won’t do this anymore 34:27 won’t do this anymore . It's getting a little 34:28 . It's getting a little 34:28 . It's getting a little better." And if he 34:29 better." And if he 34:29 better." And if he gives it out, it's like, " 34:30 gives it out, it's like, " Hey, you know," and you 34:30 Hey, you know," and you 34:30 Hey, you know," and you have to check the 34:31 have to check the 34:31 have to check the source. It really is 34:32 source. It really is 34:32 source. It really is getting more accurate. And I 34:33 getting more accurate. And I 34:33 getting more accurate. And I think he's really 34:34 think he's really 34:34 think he's really saying, "Hey, I think 34:35 saying, "Hey, I think 34:35 saying, "Hey, I think Claude is going to say, "Listen, I do 34:36 Claude is going to say, "Listen, I do 34:36 Claude is going to say, "Listen, I do n't even... he's going to say, " 34:37 n't even... he's going to say, " 34:37 n't even... he's going to say, " I'm not sure about 34:37 I'm not sure about 34:37 I'm not sure about this." You're going to have to 34:38 this." You're going to have to 34:38 this." You're going to have to look it up 34:39 look it up 34:39 look it up yourself. I'm like, "That's what 34:40 yourself. I'm like, "That's what 34:40 yourself. I'm like, "That's what I'm paying you for, Claude." Well, 34:42 I'm paying you for, Claude." Well, 34:42 I'm paying you for, Claude." Well, but it's good to have that kind of 34:43 but it's good to have that kind of 34:43 but it's good to have that kind of check, right? And that's 34:45 check, right? And that's 34:45 check, right? And that's one of the things. 34:46 one of the things. 34:46 one of the things. But I also worry, 34:47 But I also worry, 34:47 But I also worry, it's almost like 34:48 it's almost like 34:48 it's almost like speaking a foreign
AIu2019s impact on diagnostic skills.) 34:49 speaking a foreign 34:49 speaking a foreign language, man. If you 34:50 language, man. If you 34:50 language, man. If you don't speak it 34:51 don't speak it 34:51 don't speak it enough, you 34:52 enough, you 34:52 enough, you forget it, right? And I 34:53 forget it, right? And I 34:53 forget it, right? And I feel like if we 34:54 feel like if we 34:54 feel like if we 34:55 rely too much on 34:55 rely too much on AI, 34:55 AI, 34:56 AI, there's a risk of dulling 34:57 there's a risk of dulling 34:57 there's a risk of dulling some of the diagnostic 34:58 some of the diagnostic 34:58 some of the diagnostic skills, right? If you 34:59 skills, right? If you 34:59 skills, right? If you just say, "Let 35:00 just say, "Let 35:00 just say, "Let me throw this in here and let it 35:01 me throw this in here and let it 35:01 me throw this in here and let it give me a 35:01 give me a 35:01 give me a result." It's like, you 35:02 result." It's like, you 35:02 result." It's like, you still have to 35:03 still have to 35:03 still have to stay 35:04 stay 35:04 stay on your toes, because there's so 35:05 on your toes, because there's so 35:05 on your toes, because there's so many things that we 35:06 many things that we 35:06 many things that we have to learn to 35:06 have to learn to 35:06 have to learn to keep up; we really have to be 35:07 keep up; we really have to be 35:08 keep up; we really have to be able to do 35:08 able to do 35:08 able to do the work ourselves. 35:09 the work ourselves. 35:09 the work ourselves. Well, the number of times 35:10 Well, the number of times 35:11 Well, the number of times that I... I personally 35:12 that I... I personally 35:12 that I... I personally think that we're at a 35:13 think that we're at a 35:13 think that we're at a point now where, as I said, 35:14 point now where, as I said, 35:14 point now where, as I said, treatment plans are 35:15 treatment plans are 35:15 treatment plans are somewhat something is
The limitations of AI in treatment plans.) 35:16 somewhat something is 35:16 somewhat something is missing. He puts 35:17 missing. He puts 35:17 missing. He puts this nice picture together, and 35:18 this nice picture together, and 35:18 this nice picture together, and then we work with a 35:20 then we work with a 35:20 then we work with a framework that I 35:21 framework that I 35:21 framework that I can just 35:22 can just 35:22 can just throw ideas into. And, um, 35:24 throw ideas into. And, um, 35:24 throw ideas into. And, um, most of the time I'll 35:25 most of the time I'll 35:25 most of the time I'll suggest things, whether it's a 35:27 suggest things, whether it's a 35:27 suggest things, whether it's a supplement or a peptide 35:28 supplement or a peptide 35:28 supplement or a peptide or some 35:28 or some 35:28 or some regenerative 35:29 regenerative 35:29 regenerative therapy, and he'll say, "Oh 35:31 therapy, and he'll say, "Oh , I didn't even think of that 35:32 , I didn't even think of that 35:32 , I didn't even think of that ." Because every time 35:35 ." Because every time 35:35 ." Because every time you type your 35:36 you type your 35:36 you type your question or 35:38 question or any query into the AI, it 35:39 any query into the AI, it 35:39 any query into the AI, it doesn't think forever; it doesn't 35:40 doesn't think forever; it doesn't 35:40 doesn't think forever; it doesn't search through the entire 35:41 search through the entire 35:41 search through the entire body of literature, 35:42 body of literature, 35:42 body of literature, so it misses a lot of things 35:43 so it misses a lot of things 35:43 so it misses a lot of things . It'll 35:45 . It'll 35:45 . It'll just give you the 35:46 just give you the 35:46 just give you the highlights. But that's where 35:48 highlights. But that's where 35:48 highlights. But that's where patients, they don't 35:49 patients, they don't 35:49 patients, they don't know everything that's out there... 35:50 know everything that's out there... 35:50 know everything that's out there... we kind of have a hidden 35:52 we kind of have a hidden 35:52 we kind of have a hidden menu, right? We've 35:54 menu, right? We've 35:54 menu, right? We've been in these 35:55 been in these 35:55 been in these situations before, and we know, 35:56 situations before, and we know, 35:56 situations before, and we know, like, the other day I 35:57 like, the other day I 35:57 like, the other day I was talking about butyrate 35:58 was talking about butyrate 35:58 was talking about butyrate as a postbiotic for 35:59 as a postbiotic for 35:59 as a postbiotic for this 36:00 this 36:00 this person's microbiome, and that was exactly 36:02 person's microbiome, and that was exactly 36:02 person's microbiome, and that was exactly what he needed. 36:03 what he needed. 36:03 what he needed. I'm like, well, why didn't you 36:04 I'm like, well, why didn't you 36:04 I'm like, well, why didn't you get that the 36:05 get that the 36:05 get that the first time, huh? That's 36:06 first time, huh? That's 36:06 first time, huh? That's your job, dude. 36:08 your job, dude. 36:08 your job, dude. But that's the experience of being a 36:09 But that's the experience of being a 36:09 But that's the experience of being a clinician, right? 36:10 clinician, right? 36:10 clinician, right? Knowing about these things that are 36:11 Knowing about these things that are 36:11 Knowing about these things that are available and can 36:12 available and can 36:12 available and can it works and it 36:13 it works and it 36:13 it works and it comes back and you know 36:15 comes back and you know , it makes me 36:16 , it makes me 36:16 , it makes me feel like the 36:17 feel like the 36:17 feel like the hero of the day and... 36:17 hero of the day and... 36:18 hero of the day and... absolutely 36:18 absolutely 36:18 absolutely yes 36:19 yes 36:19 yes absolutely, absolutely. 36:21 absolutely, absolutely. 36:21 absolutely, absolutely. So here's the big 36:22 So here's the big 36:22 So here's the big question, man. I
Accountability in AI-driven healthcare.) 36:24 question, man. I 36:24 question, man. I thought about this a little bit 36:25 thought about this a little bit 36:25 thought about this a little bit when we were writing our 36:26 when we were writing our 36:27 when we were writing our questions: is it 36:27 questions: is it 36:27 questions: is it normal for AI to be 36:28 normal for AI to be 36:28 normal for AI to be involved in 36:29 involved in 36:29 involved in clinical 36:30 clinical 36:30 clinical recommendations, if 36:31 recommendations, if 36:31 recommendations, if something goes wrong, who's 36:32 something goes wrong, who's 36:32 something goes wrong, who's 36:34 responsible? 36:37 The doctor, the company that 36:37 The doctor, the company that made the tool, 36:38 made the tool, 36:38 made the tool, or the patient? Like, 36:39 or the patient? Like, 36:39 or the patient? Like, look, you 36:40 look, you 36:40 look, you used the chat and 36:41 used the chat and 36:41 used the chat and it gave the wrong 36:42 it gave the wrong 36:42 it gave the wrong answer; you're 36:43 answer; you're 36:43 answer; you're completely on your own here. 36:44 completely on your own here. 36:44 completely on your own here. And I don't think any 36:45 And I don't think any 36:45 And I don't think any of this has been 36:46 of this has been 36:46 of this has been resolved. Like, 36:47 resolved. Like, 36:47 resolved. Like, what's your take on 36:48 what's your take on 36:48 what's your take on it? 36:49 it? 36:50 it? It's a complicated question. I 36:51 It's a complicated question. I 36:51 It's a complicated question. I mean, I think 36:53 mean, I think 36:53 mean, I think it depends to some extent 36:54 it depends to some extent 36:54 it depends to some extent on the level of 36:55 on the level of 36:55 on the level of involvement. Um, that 36:58 involvement. Um, that 36:58 involvement. Um, that was kind of the 36:59 was kind of the 36:59 was kind of the equation for 37:00 equation for 37:00 equation for self-driving 37:00 self-driving 37:00 self-driving cars, right? There have 37:02 cars, right? There have 37:04 been some 37:04 been some accidents involving 37:05 accidents involving 37:05 accidents involving self-driving cars, and the 37:06 self-driving cars, and the 37:06 self-driving cars, and the question is, 37:07 question is, 37:07 question is, should we just 37:08 should we just 37:08 should we just abandon this 37:10 abandon this 37:10 abandon this idea altogether or should we just keep 37:11 idea altogether or should we just keep 37:11 idea altogether or should we just keep moving forward and let 37:12 moving forward and let 37:12 moving forward and let them get 37:13 them get 37:13 them get better over time? 37:14 better over time? 37:14 better over time? The scariest part of it is 37:15 The scariest part of it is 37:15 The scariest part of it is thinking about 37:16 thinking about 37:16 thinking about surgical surgeries, 37:17 surgical surgeries, 37:17 surgical surgeries, and I think that's why 37:18 and I think that's why 37:18 and I think that's why the implementation of these 37:20 the implementation of these 37:20 the implementation of these things will be 37:20 things will be 37:20 things will be delayed. The 37:21 delayed. The 37:21 delayed. The higher the level of 37:22 higher the level of 37:22 higher the level of complexity, the 37:23 complexity, the 37:23 complexity, the more it can be 37:24 more it can be 37:24 more it can be implemented. That's 37:26 implemented. That's 37:26 implemented. That's why radiologists 37:26 why radiologists 37:26 why radiologists have been protected for a while 37:27 have been protected for a while 37:27 have been protected for a while , and they 37:29 , and they 37:29 , and they still have to stay in the 37:30 still have to stay in the 37:30 still have to stay in the process, controlling 37:31 process, controlling 37:31 process, controlling it. If you diagnose 37:33 it. If you diagnose 37:33 it. If you diagnose cancer, I want to have 37:34 cancer, I want to have 37:34 cancer, I want to have human 37:36 human 37:36 human eyes check it, at least for now 37:37 eyes check it, at least for now 37:37 eyes check it, at least for now . Simple things are 37:40 . Simple things are 37:40 . Simple things are fine. But when the 37:42 fine. But when the 37:42 fine. But when the risk level 37:43 risk level 37:43 risk level increases, the human should 37:44 increases, the human should 37:44 increases, the human should stay until 37:45 stay until 37:45 stay until the system proves that 37:47 the system proves that 37:47 the system proves that it's almost 37:47 it's almost 37:47 it's almost perfect. But it's 37:50 perfect. But it's 37:50 perfect. But it's hard to say. I would be 37:54 hard to say. I would be 37:54 hard to say. I would be interested 37:55 interested 37:55 interested to know if there have been 37:56 to know if there have been 37:56 to know if there have been cases of 37:57 cases of 37:57 cases of medical errors 37:58 medical errors 37:58 medical errors due to AI, but it's an 37:59 due to AI, but it's an 37:59 due to AI, but it's an interesting philosophical 38:00 interesting philosophical 38:00 interesting philosophical question. I think the way 38:04 question. I think the way 38:04 question. I think the way forward is to 38:05 forward is to 38:05 forward is to set 38:06 set 38:06 set safety thresholds, and 38:07 safety thresholds, and 38:07 safety thresholds, and I don't think anyone 38:08 I don't think anyone 38:08 I don't think anyone will complain about 38:09 will complain about 38:09 will complain about having humans present 38:10 having humans present 38:10 having humans present until we reach a 38:12 until we reach a 38:12 until we reach a certain level. 38:13 certain level. 38:15 Oh yeah. And as for whether 38:15 Oh yeah. And as for whether we use it, 38:16 we use it, 38:16 we use it, that's definitely something to 38:18 that's definitely something to 38:18 that's definitely something to talk about. Also, 38:19 talk about. Also, 38:19 talk about. Also, I think it's not
Mental health and AI: a cautionary tale.) 38:20 I think it's not 38:20 I think it's not ready for the general 38:21 ready for the general 38:21 ready for the general public yet. You're talking about 38:23 public yet. You're talking about 38:23 public yet. You're talking about surgery. Another area 38:24 surgery. Another area is mental 38:25 is mental 38:25 is mental health. I know AI is 38:27 health. I know AI is 38:27 health. I know AI is already partially takes 38:28 already partially takes 38:28 already partially takes the strain off when it 38:29 the strain off when it 38:29 the strain off when it comes to 38:30 comes to 38:30 comes to counseling and 38:31 counseling and 38:31 counseling and therapy. But if 38:32 therapy. But if 38:32 therapy. But if a person is on the edge and they're 38:33 a person is on the edge and they're 38:33 a person is on the edge and they're getting bad advice 38:34 getting bad advice ... remember, you 38:35 ... remember, you 38:35 ... remember, you said, AI is very 38:36 said, AI is very 38:36 said, AI is very good at 38:36 good at 38:36 good at confirming 38:37 confirming 38:37 confirming biases. It's like 38:38 biases. It's like 38:38 biases. It's like telling you what you want 38:40 telling you what you want 38:40 telling you what you want to hear, 38:40 to hear, 38:41 to hear, and sometimes it's not the 38:41 and sometimes it's not the 38:41 and sometimes it's not the right answer, 38:43 right answer, 38:43 right answer, you know. So I think 38:44 you know. So I think 38:44 you know. So I think people should 38:45 people should 38:45 people should be careful here, because 38:46 be careful here, because 38:46 be careful here, because they're using 38:48 they're using 38:48 they're using it every day. It's got to be 38:49 it every day. It's got to be 38:49 it every day. It's got to be well-mastered, 38:50 well-mastered, 38:50 well-mastered, man. That's the way it is. 38:51 man. That's the way it is. 38:51 man. That's the way it is. But I think it 38:52 But I think it 38:52 But I think it helps some 38:53 helps some 38:53 helps some people and stand up for 38:54 people and stand up for 38:54 people and stand up for themselves. I think it 38:55 themselves. I think it 38:55 themselves. I think it teaches them in a way that 38:57 teaches them in a way that 38:57 teaches them in a way that gives them confidence. And 38:59 gives them confidence. And 38:59 gives them confidence. And we got to where 39:01 we got to where 39:01 we got to where we are because some 39:02 we are because some 39:02 we are because some areas of medicine have 39:03 areas of medicine have 39:03 areas of medicine have gotten a little lazy 39:04 gotten a little lazy 39:04 gotten a little lazy and haven't progressed, and I do 39:06 and haven't progressed, and I do 39:06 and haven't progressed, and I do n't know if what they're 39:07 n't know if what they're 39:07 n't know if what they're doing is actually healing 39:08 doing is actually healing 39:08 doing is actually healing people. Like I said, 39:11 people. Like I said, 39:11 people. Like I said, psychiatry, 39:11 psychiatry, 39:11 psychiatry, for example, is something that 39:13 for example, is something that 39:13 for example, is something that I'm really excited about. Mhm. 39:14 I'm really excited about. Mhm. 39:14 I'm really excited about. Mhm. I think a lot of it 39:15 I think a lot of it 39:15 I think a lot of it comes down to the 39:16 comes down to the 39:16 comes down to the root cause. I see people every day 39:18 root cause. I see people every day 39:20 discovering 39:20 discovering better ways to take care 39:21 better ways to take care 39:21 better ways to take care of their mental 39:22 of their mental 39:22 of their mental health, whether either 39:23 health, whether either 39:23 health, whether either through AI or 39:24 through AI or 39:24 through AI or through great 39:25 through great 39:25 through great experts. Um, there are 39:26 experts. Um, there are 39:26 experts. Um, there are alternatives. 39:27 alternatives. 39:27 alternatives. Sure. Here's 39:29 Sure. Here's 39:29 Sure. Here's a question for you, buddy. Um, I 39:31 a question for you, buddy. Um, I 39:31 a question for you, buddy. Um, I didn't put this on our
AI tools for clinicians.) 39:32 didn't put this on our 39:32 didn't put this on our list. It's not like it's a 39:33 list. It's not like it's a 39:33 list. It's not like it's a random question, 39:35 random question, 39:35 random question, but what 39:36 but what 39:36 but what AI tools do you 39:36 AI tools do you 39:36 AI tools do you use or are 39:37 use or are 39:38 use or are you most 39:39 you most 39:39 you most excited about? Yeah, for 39:41 excited about? Yeah, for 39:41 excited about? Yeah, for normal conversations, 39:42 normal conversations, 39:42 normal conversations, just 39:44 just 39:44 just brainstorming, I still 39:45 brainstorming, I still 39:45 brainstorming, I still find ChatGPT great. 39:46 find ChatGPT great. 39:47 find ChatGPT great. It gives very quick 39:48 It gives very quick 39:48 It gives very quick and well-thought-out 39:49 and well-thought-out 39:49 and well-thought-out answers. So on the 39:54 answers. So on the 39:54 answers. So on the AI side, that's the chatbot that I 39:55 AI side, that's the chatbot that I 39:55 AI side, that's the chatbot that I use, but Claude is 39:56 use, but Claude is 39:56 use, but Claude is incredibly good at creating 39:57 incredibly good at creating 39:57 incredibly good at creating documents, 39:58 documents, 39:58 documents, synthesizing large 39:59 synthesizing large 39:59 synthesizing large amounts of information, 40:01 amounts of information, 40:01 amounts of information, like into 40:02 like into 40:02 like into treatment plans for 40:03 treatment plans for 40:03 treatment plans for patients. We 40:06 patients. We 40:06 patients. We use Claude 40:08 use Claude 40:08 use Claude because he can create a 40:09 because he can create a 40:09 because he can create a beautifully designed 40:10 beautifully designed 40:10 beautifully designed treatment plan, and 40:11 treatment plan, and 40:11 treatment plan, and then you have to 40:12 then you have to 40:12 then you have to tweak it a little bit. We 40:13 tweak it a little bit. We 40:13 tweak it a little bit. We just have 40:14 just have 40:14 just have a dialogue with him. But he also 40:15 a dialogue with him. But he also 40:15 a dialogue with him. But he also has the ability 40:16 has the ability 40:16 has the ability to learn what you 40:17 to learn what you 40:17 to learn what you like. He 40:18 like. He 40:18 like. He kind of knows how 40:19 kind of knows how 40:19 kind of knows how I think. It's like, here are 40:21 I think. It's like, here are 40:21 I think. It's like, here are his favorite 40:22 his favorite 40:22 his favorite supplement combinations 40:23 supplement combinations 40:23 supplement combinations or often at a given 40:24 or often at a given 40:24 or often at a given moment in time, he wants to 40:25 moment in time, he wants to 40:25 moment in time, he wants to do this. And those are 40:28 do this. And those are 40:28 do this. And those are probably my main 40:29 probably my main 40:29 probably my main tools when it comes 40:30 tools when it comes 40:30 tools when it comes to AI. And also, 40:33 to AI. And also, 40:33 to AI. And also, Matt...you know, one 40:34 Matt...you know, one 40:34 Matt...you know, one aspect of AI that we have 40:36 aspect of AI that we have 40:36 aspect of AI that we have n't talked about yet is the 40:37 n't talked about yet is the 40:37 n't talked about yet is the clinical 40:38 clinical 40:38 clinical research field. I think it's 40:42 research field. I think it's 40:42 research field. I think it's really...there's people, there's 40:43 really...there's people, there's 40:43 really...there's people, there's jobs, there's what the
The future of clinical trials with AI.) 40:44 jobs, there's what the 40:44 jobs, there's what the day-to-day 40:46 day-to-day 40:46 day-to-day work looks like, and there's how it 40:47 work looks like, and there's how it 40:47 work looks like, and there's how it accelerates medicine. 40:49 accelerates medicine. 40:52 I think we've kind of 40:52 I think we've kind of hit a dead end in 40:53 hit a dead end in 40:53 hit a dead end in clinical 40:53 clinical 40:53 clinical research. 40:54 research. 40:56 Clinical 40:56 Clinical trials can 40:57 trials can 40:57 trials can last 10 years, you 40:58 last 10 years, you 40:58 last 10 years, you do 40:59 do 40:59 do randomization, and then you 41:00 randomization, and then you 41:00 randomization, and then you reveal the 41:01 reveal the 41:01 reveal the results, and even 41:02 results, and even 41:02 results, and even then people are 41:02 then people are 41:02 then people are incredibly difficult to 41:03 incredibly difficult to 41:03 incredibly difficult to study. So Matt is 41:05 study. So Matt is 41:05 study. So Matt is building a system 41:06 building a system 41:06 building a system called LifeOS, which 41:08 called LifeOS, which 41:08 called LifeOS, which is essentially 41:09 is essentially 41:09 is essentially software for 41:10 software for 41:10 software for collecting data and 41:11 collecting data and 41:11 collecting data and running clinical 41:12 running clinical 41:12 running clinical trials in 41:13 trials in 41:13 trials in real time. We're 41:15 real time. We're 41:15 real time. We're generating more 41:16 generating more 41:16 generating more data than ever before, 41:17 data than ever before, 41:17 data than ever before, and I think we 41:18 and I think we 41:18 and I think we should start 41:19 should start 41:19 should start using that 41:20 using that 41:20 using that to run 41:21 to run 41:21 to run clinical 41:21 clinical 41:21 clinical trials without having to 41:22 trials without having to 41:22 trials without having to wait so long. 41:23 wait so long. 41:23 wait so long. You have the entire population, and 41:25 You have the entire population, and , you know, there's 41:25 , you know, there's 41:25 , you know, there's privacy, 41:26 privacy, 41:26 privacy, people control 41:27 people control 41:28 people control their data, but if we 41:29 their data, but if we 41:29 their data, but if we could change the 41:30 could change the 41:30 could change the landscape of scientific 41:31 landscape of scientific 41:31 landscape of scientific research, I think that would be 41:32 research, I think that would be 41:32 research, I think that would be one of the 41:33 one of the 41:33 one of the best 41:33 best 41:34 best uses. 41:34 uses. 41:37 That's good, yeah, it's all 41:37 That's good, yeah, it's all for conversations, for 41:38 for conversations, for 41:38 for conversations, for communication...I would 41:39 communication...I would 41:39 communication...I would add Perplexity, I don't know 41:41 add Perplexity, I don't know 41:41 add Perplexity, I don't know if you use 41:42 if you use 41:42 if you use Perplexity a little bit, sometimes 41:44 Perplexity a little bit, sometimes 41:44 Perplexity a little bit, sometimes it's really helpful. 41:45 it's really helpful. 41:45 it's really helpful. I'm curious about your 41:46 I'm curious about your 41:46 I'm curious about your experience with that. 41:47 experience with that. 41:48 experience with that. Yeah, yeah, there's this thing where, you 41:49 Yeah, yeah, there's this thing where, you 41:49 Yeah, yeah, there's this thing where, you know, I try 41:50 know, I try 41:50 know, I try to explain everything as 41:51 to explain everything as 41:51 to explain everything as simply as possible, man, but 41:52 simply as possible, man, but 41:52 simply as possible, man, but sometimes it's like, "Hey, this is a 41:53 sometimes it's like, "Hey, this is a 41:53 sometimes it's like, "Hey, this is a pretty complicated topic," 41:55 pretty complicated topic," 41:55 pretty complicated topic," and I don't know, I 41:56 and I don't know, I 41:56 and I don't know, I don't have a way to 41:56 don't have a way to 41:57 don't have a way to explain it...even though I 41:57 explain it...even though I 41:57 explain it...even though I love my analogies, 41:59 love my analogies, 41:59 love my analogies, but sometimes I get 42:00 but sometimes I get 42:00 but sometimes I get stuck, like, " 42:01 stuck, like, " 42:01 stuck, like, " Listen, I don't know how to 42:02 Listen, I don't know how to 42:02 Listen, I don't know how to explain this to you, well, 42:03 explain this to you, well, 42:03 explain this to you, well, let's 42:04 let's 42:04 let's take something 42:05 take something 42:05 take something simple, 42:06 simple, 42:06 simple, let's talk about the 42:06 let's talk about the 42:06 let's talk about the lymphatic system. " 42:08 lymphatic system. " I need to explain to 42:09 I need to explain to 42:09 I need to explain to you how 42:10 you how 42:10 you how this pressure changes, and that's why 42:11 this pressure changes, and that's why 42:11 this pressure changes, and that's why you're so foggy. 42:12 you're so foggy. 42:12 you're so foggy. You're not getting enough sleep because 42:13 You're not getting enough sleep because 42:13 You're not getting enough sleep because you...you're not allowing 42:14 you...you're not allowing 42:14 you...you're not allowing yourself, you're not getting 42:15 yourself, you're not getting 42:15 yourself, you're not getting quality sleep, you're not 42:16 quality sleep, you're not 42:16 quality sleep, you're not getting the ventricular, 42:17 getting the ventricular, 42:17 getting the ventricular, well, all that ventricular, 42:18 well, all that ventricular, 42:18 well, all that ventricular, you know. And I'm 42:18 you know. And I'm 42:19 you know. And I'm like, "Okay, Perplexity, how do 42:20 like, "Okay, Perplexity, how do 42:20 like, "Okay, Perplexity, how do I explain this 42:21 I explain this 42:21 I explain this [ __ ]?" "and you just 42:22 [ __ ]?" "and you just 42:22 [ __ ]?" "and you just throw it in there. 42:23 throw it in there. 42:23 throw it in there. It simplifies it. I 42:24 It simplifies it. I 42:24 It simplifies it. I like it for 42:25 like it for 42:25 like it for some of the more complex 42:26 some of the more complex 42:26 some of the more complex explanations. And another 42:27 explanations. And another 42:28 explanations. And another thing that I really 42:29 thing that I really 42:29 thing that I really like is 42:30 like is 42:30 like is NotebookLM. 42:30 NotebookLM. 42:30 NotebookLM. I hadn't heard of that. 42:31 I hadn't heard of that. 42:31 I hadn't heard of that. Yeah, Notebooks. It's from Google. 42:33 Yeah, Notebooks. It's from Google. 42:33 Yeah, Notebooks. It's from Google. So with Notebook, the only 42:34 So with Notebook, the only 42:34 So with Notebook, the only caveat is that you 42:35 caveat is that you 42:35 caveat is that you have to 42:36 have to 42:36 have to feed it 42:36 feed it 42:37 feed it information yourself. So you don't 42:37 information yourself. So you don't 42:37 information yourself. So you don't want to 42:38 want to 42:38 want to use it 42:39 use it 42:39 use it as a regular chatbot. 42:40 as a regular chatbot. 42:40 as a regular chatbot. Let's say you want 42:41 Let's say you want 42:41 Let's say you want to learn about something 42:42 to learn about something 42:42 to learn about something new. Like, hey, man, 42:43 new. Like, hey, man, 42:43 new. Like, hey, man, for example, if I 42:44 for example, if I 42:44 for example, if I want to type in mucocele 42:45 want to type in mucocele 42:45 want to type in mucocele and I want to learn about 42:46 and I want to learn about 42:46 and I want to learn about them. I can 42:47 them. I can 42:47 them. I can pull up all the 42:48 pull up all the 42:48 pull up all the scientific papers that I can 42:49 scientific papers that I can 42:49 scientific papers that I can find on PubMed about 42:50 find on PubMed about 42:50 find on PubMed about mucocele. I can 42:51 mucocele. I can 42:51 mucocele. I can add podcasts that 42:52 add podcasts that 42:52 add podcasts that people have recorded about 42:53 people have recorded about 42:53 people have recorded about mucocele. It'll kind of 42:54 mucocele. It'll kind of 42:54 mucocele. It'll kind of pull it all together, 42:55 pull it all together, 42:55 pull it all together, and you can actually have 42:56 and you can actually have 42:56 and you can actually have a conversation with it, 42:57 a conversation with it, 42:57 a conversation with it, like what is a 42:58 like what is a 42:58 like what is a mucocele. Bam. It'll 42:59 mucocele. Bam. It'll 42:59 mucocele. Bam. It'll take that from that 43:00 take that from that 43:00 take that from that information, and how is 43:00 information, and how is 43:00 information, and how is mucocele 43:01 mucocele 43:01 mucocele used, 43:02 used, 43:02 used, say, in 43:02 say, in 43:02 say, in arthritic conditions. It'll 43:04 arthritic conditions. It'll 43:04 arthritic conditions. It'll take the data from there. And 43:06 take the data from there. And 43:06 take the data from there. And then it can 43:07 then it can 43:07 then it can create a 43:09 create a 43:09 create a PowerPoint presentation, infographics, 43:10 PowerPoint presentation, infographics, 43:10 PowerPoint presentation, infographics, podcast. And trust me, 43:11 podcast. And trust me, 43:11 podcast. And trust me, I do 43:12 I do 43:12 I do podcasts. I've been 43:13 podcasts. I've been 43:13 podcasts. I've been doing podcasts for six years now 43:14 doing podcasts for six years now 43:14 doing podcasts for six years now , and he's a 43:15 , and he's a 43:15 , and he's a better 43:15 better 43:15 better podcaster than I am. It's 43:16 podcaster than I am. It's 43:16 podcaster than I am. It's like, I wish I could just 43:17 like, I wish I could just 43:17 like, I wish I could just do that. It's 43:18 do that. It's 43:18 do that. It's just a live dialogue. 43:19 just a live dialogue. 43:20 just a live dialogue. It's a witty exchange. 43:21 It's a witty exchange. 43:21 It's a witty exchange. I'm like, "You mean 43:21 I'm like, "You mean 43:21 I'm like, "You mean AI." You're 43:22 AI." You're 43:22 AI." You're such a good 43:23 such a good 43:23 such a good podcaster. 43:23 podcaster. 43:23 podcaster. No, you're pretty 43:24 No, you're pretty 43:24 No, you're pretty good too. I 43:25 good too. I 43:25 good too. I mean, it's impressive. Um, 43:27 mean, it's impressive. Um, 43:27 mean, it's impressive. Um, Open Evidence is another 43:28 Open Evidence is another 43:28 Open Evidence is another tool that 43:29 tool that 43:29 tool that comes to mind. Yeah, 43:30 comes to mind. Yeah, 43:30 comes to mind. Yeah, it's purely 43:31 it's purely 43:31 it's purely using, 43:32 using, 43:34 um, research, 43:34 um, research, literature. So I 43:36 literature. So I 43:36 literature. So I tend to 43:36 tend to 43:36 tend to trust that. And yeah 43:37 trust that. And yeah 43:38 trust that. And yeah , 43:38 , 43:38 , of course, follow the 43:40 of course, follow the 43:40 of course, follow the links, 43:41 links, 43:41 links, check the sources, 43:42 check the sources, 43:42 check the sources, but Open Evidence is 43:43 but Open Evidence is 43:43 but Open Evidence is still great. 43:44 still great. 43:44 still great. Yeah, it's cool. 43:45 Yeah, it's cool. 43:46 Yeah, it's cool. I really 43:47 I really 43:47 I really like that because 43:48 like that because 43:48 like that because now, you know, 43:49 now, you know, 43:49 now, you know, we're going to get into 43:51 we're going to get into 43:51 we're going to get into peptides, and they're not that well 43:52 peptides, and they're not that well 43:56 researched. Quite 43:56 researched. Quite a lot, but not that 43:57 a lot, but not that 43:57 a lot, but not that much. And sometimes, you know, 43:58 much. And sometimes, you know, 43:58 much. And sometimes, you know, so many people 43:59 so many people 43:59 so many people talk about peptides, 44:01 talk about peptides, 44:01 talk about peptides, and someone says, "This 44:02 and someone says, "This 44:02 and someone says, "This peptide does this 44:03 peptide does this ." 44:03 ." 44:03 ." I'm like, "Oh, that's interesting," and I'm 44:05 I'm like, "Oh, that's interesting," and I'm 44:05 I'm like, "Oh, that's interesting," and I'm going to hit Open 44:06 going to hit Open 44:06 going to hit Open Evidence. Are there any 44:07 Evidence. Are there any 44:09 animal or human studies 44:09 animal or human studies that show that 44:10 that show that 44:10 that show that this peptide does this? 44:11 this peptide does this? 44:11 this peptide does this? Often there's nothing there 44:12 Often there's nothing there 44:12 Often there's nothing there . 44:12 . 44:14 But that's really an 44:14 But that's really an important point, because the 44:16 important point, because the 44:16 important point, because the medical literature 44:17 medical literature 44:17 medical literature used to be a 44:18 used to be a 44:18 used to be a kind of "medical 44:19 kind of "medical 44:19 kind of "medical crypt," you know? 44:20 crypt," you know? 44:23 Only certain people or 44:23 Only certain people or PhDs would dig 44:24 PhDs would dig 44:24 PhDs would dig in there, or maybe 44:25 in there, or maybe 44:25 in there, or maybe doctors would look at 44:26 doctors would look at 44:26 doctors would look at medical sources. Um, 44:30 medical sources. Um, 44:30 medical sources. Um, that's another 44:31 that's another 44:31 that's another 44:33 empowerment point: I think people now— 44:34 people now— listen, 44:34 listen, 44:34 listen, interpreting the 44:35 interpreting the 44:35 interpreting the medical literature— 44:37 medical literature— is a skill, but 44:38 is a skill, but 44:38 is a skill, but still finding the data—is a 44:39 still finding the data—is a 44:39 still finding the data—is a step up 44:40 step up 44:40 step up from, 44:41 from, 44:41 from, you know, "Men's Health" ( 44:42 you know, "Men's Health" ( nothing against 44:44 nothing against 44:44 nothing against them). But reading the 44:45 them). But reading the 44:45 them). But reading the actual studies 44:47 actual studies is a different thing. I 44:48 is a different thing. I 44:48 is a different thing. I like that it's 44:49 like that it's 44:49 like that it's in people's hands now. 44:50 in people's hands now. 44:50 in people's hands now. Yeah, that's right. The data is there. 44:51 Yeah, that's right. The data is there. 44:52 Yeah, that's right. The data is there. And honestly, man 44:53 And honestly, man , man 44:53 , man 44:53 , man , I'm older than I 44:54 , I'm older than I 44:54 , I'm older than I look. And I remember 44:56 look. And I remember 44:56 look. And I remember when I had to 44:57 when I had to 44:57 when I had to write a paper, 44:58 write a paper, 44:58 write a paper, and I had to go to 44:59 and I had to go to 44:59 and I had to go to library, and it's like 45:00 library, and it's like 45:00 library, and it's like that. It's a 45:01 that. It's a 45:01 that. It's a huge building, 45:02 huge building, 45:02 huge building, you have to go to the 45:02 you have to go to the 45:02 you have to go to the card catalog, 45:03 card catalog, 45:03 card catalog, try to 45:04 try to 45:04 try to find something. You hope 45:05 find something. You hope 45:05 find something. You hope the book is there. You 45:06 the book is there. You 45:06 the book is there. You have to sit at a 45:07 have to sit at a 45:07 have to sit at a table with eight 45:08 table with eight 45:08 table with eight books stacked on 45:08 books stacked on 45:08 books stacked on top of each other. You're trying 45:09 top of each other. You're trying 45:09 top of each other. You're trying to write a paper. I'm 45:10 to write a paper. I'm 45:10 to write a paper. I'm like, "This is torture 45:11 like, "This is torture ." This is unfair 45:12 ." This is unfair 45:12 ." This is unfair torture. And now I'm like, 45:13 torture. And now I'm like, 45:13 torture. And now I'm like, "You just 45:14 "You just 45:14 "You just go to Open Evidence, 45:15 go to Open Evidence, 45:15 go to Open Evidence, man." You can 45:16 man." You can 45:16 man." You can open it right 45:16 open it right 45:16 open it right now. It's like, "Oh my 45:18 now. It's like, "Oh my 45:18 now. It's like, "Oh my God, this is..." 45:18 God, this is..." 45:19 God, this is..." Oh, and how did you type 45:20 Oh, and how did you type 45:20 Oh, and how did you type citations back then? You 45:21 citations back then? You 45:21 citations back then? You had to write in a 45:22 had to write in a 45:22 had to write in a certain style. Even 45:23 certain style. Even 45:23 certain style. Even writing medical 45:24 writing medical 45:24 writing medical papers if you were going 45:25 papers if you were going 45:25 papers if you were going to get published. 45:25 to get published. 45:25 to get published. Oh man, it's hard. 45:27 Oh man, it's hard. 45:27 Oh man, it's hard. It's really hard. It's like, 45:28 It's really hard. It's like, 45:28 It's really hard. It's like, "I used to walk downhill 45:29 "I used to walk downhill 45:29 "I used to walk downhill both ways in the snow 45:31 both ways in the snow 45:31 both ways in the snow when I was a student." 45:32 when I was a student." 45:32 when I was a student." That's my There was nothing like that back then 45:35 That's my There was nothing like that back then 45:35 That's my There was nothing like that back then , was there 45:36 , was there 45:36 , was there ? 45:36 ? 45:36 ? You know, it used to 45:37 You know, it used to 45:37 You know, it used to take seven 45:38 take seven 45:38 take seven minutes to get 45:39 minutes to get 45:39 minutes to get online. You 45:40 online. You 45:40 online. You had to listen to your 45:41 had to listen to your 45:41 had to listen to your phone and your 45:42 phone and your 45:42 phone and your computer screaming at 45:43 computer screaming at 45:43 computer screaming at you like banshees 45:44 you like banshees 45:44 you like banshees for five minutes. 45:45 for five minutes. , while it's 45:46 , while it's 45:46 , while it's dialing, right? You're just 45:47 dialing, right? You're just 45:47 dialing, right? You're just like, "Yeah, that sound, 45:49 like, "Yeah, that sound, 45:49 like, "Yeah, that sound, that's..." 45:49 that's..." 45:50 that's..." No, but like you said, 45:51 No, but like you said, 45:51 No, but like you said, I was doing a 45:52 I was doing a 45:52 I was doing a presentation on 45:53 presentation on 45:53 presentation on peptides the other day, and it was so 45:54 peptides the other day, and it was so 45:54 peptides the other day, and it was so easy to get him 45:55 easy to get him 45:55 easy to get him to gather the existing 45:56 to gather the existing 45:56 to gather the existing literature, as you 45:57 literature, as you 45:57 literature, as you say, mostly 45:58 say, mostly 46:00 animal studies, and then 46:00 animal studies, and then filter it out and 46:01 filter it out and 46:01 filter it out and put it into the 46:02 put it into the 46:02 put it into the presentation. I 46:04 presentation. I 46:04 presentation. I mean, it took a 46:05 mean, it took a 46:05 mean, it took a matter of minutes. It's, it's 46:06 matter of minutes. It's, it's 46:06 matter of minutes. It's, it's incredible. And I 46:07 incredible. And I 46:08 incredible. And I didn't even know all 46:09 didn't even know all 46:09 didn't even know all this data. It gives 46:10 this data. It gives 46:12 doctors a great opportunity, the ability to 46:12 doctors a great opportunity, the ability to sort through PubMed, and you 46:12 sort through PubMed, and you 46:13 sort through PubMed, and you know, you don't... 46:13 know, you don't... 46:13 know, you don't... Oh, absolutely. 46:14 Oh, absolutely. 46:14 Oh, absolutely. Absolutely. 46:15 Absolutely. 46:15 Absolutely. It's crazy. 46:16 It's crazy. 46:16 It's crazy. Yeah. But you have to 46:17 Yeah. But you have to 46:17 Yeah. But you have to do, you have to 46:18 do, you have to 46:18 do, you have to do the 46:18 do the 46:18 do the vetting phase, man, because 46:19 vetting phase, man, because 46:19 vetting phase, man, because sometimes, especially in chat, 46:20 sometimes, especially in chat, 46:20 sometimes, especially in chat, he can go 46:21 he can go 46:21 he can go crazy and say, 46:22 crazy and say, 46:22 crazy and say, "Oh, that's 46:22 "Oh, that's 46:22 "Oh, that's too much."
Peptides and AI: a new frontier.) 46:23 too much." 46:23 too much." So, a good transition 46:24 So, a good transition 46:24 So, a good transition to peptides, man, because 46:26 to peptides, man, because 46:26 to peptides, man, because I know a lot of my 46:27 I know a lot of my 46:27 I know a lot of my listeners and people who 46:28 listeners and people who 46:28 listeners and people who follow you are really into 46:29 follow you are really into 46:29 follow you are really into 46:31 peptides. It's the 46:31 peptides. It's the hottest topic right now, 46:33 hottest topic right now, 46:33 hottest topic right now, and for a lot of reasons, 46:34 and for a lot of reasons, 46:34 and for a lot of reasons, And 46:36 And 46:37 And now AI is 46:37 now AI is 46:37 now AI is being used to 46:38 being used to 46:38 being used to design new 46:39 design new 46:39 design new peptides, literally from 46:40 peptides, literally from 46:40 peptides, literally from scratch, right? Here's a 46:42 scratch, right? Here's a 46:42 scratch, right? Here's a big pharmaceutical 46:43 big pharmaceutical 46:43 big pharmaceutical company that just 46:44 company that just 46:44 company that just announced a 46:44 announced a 46:44 announced a partnership with OpenAI. I won't 46:46 partnership with OpenAI. I won't 46:46 partnership with OpenAI. I won't name the name 46:47 name the name 46:47 name the name because I don't want to get 46:48 because I don't want to get 46:48 because I don't want to get sued. And 46:49 sued. And 46:49 sued. And the thing is, 46:50 the thing is, 46:50 the thing is, a lot of these 46:51 a lot of these 46:51 a lot of these research groups that 46:52 research groups that you mentioned 46:53 you mentioned 46:53 you mentioned are using 46:54 are using 46:54 are using peptides to 46:55 peptides to 46:55 peptides to create these kind of 46:56 create these kind of 46:56 create these kind of designer 46:56 designer 46:56 designer peptides, right? I think 46:58 peptides, right? I think 46:58 peptides, right? I think two come to mind 46:59 two come to mind , one is called Pepto 47:01 , one is called Pepto . I don't know if you've 47:02 . I don't know if you've 47:02 . I don't know if you've seen it. It's like a 47:03 seen it. It's like a 47:03 seen it. It's like a brown rice peptide, which is 47:04 brown rice peptide, which is 47:04 brown rice peptide, which is made from 47:05 made from 47:05 made from brown rice protein, that was 47:06 brown rice protein, that was 47:06 brown rice protein, that was made or 47:06 made or 47:06 made or designed 47:07 designed 47:07 designed with AI. It 47:08 with AI. It 47:08 with AI. It helps with sleep. There's 47:10 helps with sleep. There's 47:10 helps with sleep. There's another one, which is made from horse 47:11 another one, which is made from horse 47:11 another one, which is made from horse beans. It's 47:12 beans. It's 47:12 beans. It's called Pep Strong. I have 47:13 called Pep Strong. I have 47:13 called Pep Strong. I have n't had a chance 47:14 n't had a chance 47:14 n't had a chance to try it yet. So 47:15 to try it yet. So 47:15 to try it yet. So there are peptides that 47:16 there are peptides that 47:16 there are peptides that are being designed 47:17 are being designed 47:17 are being designed with AI. 47:18 with AI. 47:18 with AI. So from your 47:19 So from your 47:19 So from your perspective in 47:19 perspective in 47:19 perspective in regenerative 47:20 regenerative 47:20 regenerative medicine, 47:21 medicine, 47:21 medicine, what do you think this 47:22 what do you think this 47:22 what do you think this means for 47:23 means for 47:23 means for the future of 47:23 the future of 47:23 the future of peptide and even 47:25 peptide and even 47:25 peptide and even personalized 47:26 personalized 47:26 personalized therapies? 47:26 therapies? 47:27 therapies? Yeah. The first step is 47:29 Yeah. The first step is 47:29 Yeah. The first step is development, right? We 47:30 development, right? We 47:30 development, right? We need start with a 47:31 need start with a 47:31 need start with a hypothesis. We have to 47:32 hypothesis. We have to 47:32 hypothesis. We have to start with an idea. I think 47:34 start with an idea. I think that idea generation 47:35 that idea generation is the key. So we 47:36 is the key. So we 47:36 is the key. So we can start to 47:37 can start to 47:37 can start to review... I've 47:38 review... I've 47:38 review... I've actually 47:39 actually 47:39 actually used this 47:40 used this 47:40 used this to reevaluate 47:40 to reevaluate 47:41 to reevaluate certain nutraceuticals 47:42 certain nutraceuticals . I think some 47:43 . I think some 47:43 . I think some things like curcumin 47:44 things like curcumin 47:44 things like curcumin or saffron just don't 47:46 or saffron just don't 47:46 or saffron just don't get the 47:47 get the 47:47 get the recognition they deserve because who's making 47:48 recognition they deserve because who's making 47:48 recognition they deserve because who's making money off of it? 47:49 money off of it? 47:51 Supplement companies, 47:51 Supplement companies, but, you know, not big 47:53 but, you know, not big 47:53 but, you know, not big players. So it's not 47:54 players. So it's not 47:54 players. So it's not being used. I 47:55 being used. I 47:55 being used. I think we should 47:56 think we should 47:56 think we should rediscover old 47:57 rediscover old 47:57 rediscover old things that are lost 47:58 things that are lost 47:58 things that are lost in the literature but 47:59 in the literature but 47:59 in the literature but have some evidence 48:00 have some evidence 48:00 have some evidence base, and then 48:01 base, and then 48:01 base, and then generate new ideas, 48:02 generate new ideas, 48:02 generate new ideas, as you say—whether it's 48:03 as you say—whether it's 48:03 as you say—whether it's folding new 48:04 folding new 48:04 folding new proteins, or studying 48:05 proteins, or studying 48:05 proteins, or studying these deep pathways and 48:06 these deep pathways and 48:06 these deep pathways and receptors, how 48:07 receptors, how 48:07 receptors, how peptides work, and 48:08 peptides work, and 48:08 peptides work, and we agree to just 48:09 we agree to just 48:09 we agree to just use the 48:10 use the 48:10 use the fundamental 48:10 fundamental 48:10 fundamental levers of the body. We 48:12 levers of the body. We 48:12 levers of the body. We don't need to 48:12 don't need to 48:12 don't need to create foreign 48:13 create foreign 48:13 create foreign chemicals. All of that 48:15 chemicals. All of that 48:15 chemicals. All of that already exists. But 48:17 already exists. But 48:17 already exists. But then I think the 48:18 then I think the 48:18 then I think the future is to 48:19 future is to 48:19 future is to go out into the arena and say, "Here 48:20 go out into the arena and say, "Here 48:20 go out into the arena and say, "Here we have the data, and people 48:22 we have the data, and people 48:22 we have the data, and people are going to 48:22 are going to 48:22 are going to use it." " 48:24 use it." " You do 48:25 You do 48:25 You do clinical research 48:26 clinical research , you run it, and does 48:28 , you run it, and does 48:28 , you run it, and does it work or not? 48:29 it work or not? 48:31 I think one of the problems is 48:31 I think one of the problems is that clinical 48:32 that clinical 48:32 that clinical trials are a bit of 48:34 trials are a bit of a game: they're 48:34 a game: they're 48:34 a game: they're sponsored by 48:35 sponsored by 48:35 sponsored by industry, you 48:36 industry, you 48:36 industry, you only study what you 48:37 only study what you 48:37 only study what you pay for. 48:38 pay for. 48:40 I think clinical 48:40 I think clinical trials are going to get 48:42 trials are going to get 48:42 trials are going to get so cheap 48:43 so cheap 48:43 so cheap that it's going to be much more 48:44 that it's going to be much more 48:44 that it's going to be much more flexible and faster 48:45 flexible and faster to study some of these 48:46 to study some of these 48:46 to study some of these things; to look at 48:48 things; to look at 48:48 things; to look at an idea, say, a 48:49 an idea, say, a 48:49 an idea, say, a brown rice peptide 48:50 brown rice peptide , it shouldn't take that long 48:51 , it shouldn't take that long 48:51 , it shouldn't take that long . It should 48:53 . It should 48:53 . It should be three to 48:54 be three to 48:54 be three to six months or a 48:55 six months or a 48:55 six months or a year, and we'll have 48:56 year, and we'll have 48:56 year, and we'll have an idea of whether the 48:57 an idea of whether the 48:57 an idea of whether the patient is moving in the 48:58 patient is moving in the 48:58 patient is moving in the right direction 48:59 right direction . So I think that's what 49:01 . So I think that's what 49:03 excites me most about this 49:03 excites me most about this area. 49:04 area. 49:04 area. Yeah. What really
The promise of personalized medicine.) 49:06 Yeah. What really 49:06 Yeah. What really excites me, even though we're 49:07 excites me, even though we're 49:07 excites me, even though we're not there yet, is what you 49:08 not there yet, is what you 49:08 not there yet, is what you mentioned about genomics 49:09 mentioned about genomics 49:09 mentioned about genomics and studying your 49:10 and studying your 49:10 and studying your genetic profile. 49:11 genetic profile. 49:11 genetic profile. And one of the things that I 49:13 And one of the things that I 49:13 And one of the things that I see in the future is that 49:14 see in the future is that 49:14 see in the future is that if I have this 49:15 if I have this 49:15 if I have this sequence, your 49:16 sequence, your 49:16 sequence, your genetic data, you 49:17 genetic data, you 49:17 genetic data, you can put it into a 49:18 can put it into a 49:18 can put it into a program and say, " 49:19 program and say, " Hey, based on my 49:20 Hey, based on my 49:20 Hey, based on my genetic variants 49:22 genetic variants , and maybe add in 49:23 , and maybe add in 49:23 , and maybe add in your biomarkers, all your 49:24 your biomarkers, all your 49:24 your biomarkers, all your assays, 49:25 assays, 49:25 assays, inflammation markers and all that, 49:26 inflammation markers and all that, 49:26 inflammation markers and all that, and say, "Design a 49:27 and say, "Design a 49:27 and say, "Design a peptide for Jeff 49:29 peptide for Jeff 49:29 peptide for Jeff based on that and my 49:30 based on that and my 49:30 based on that and my genetics." "Not what's 49:31 genetics." "Not what's 49:31 genetics." "Not what's already out there, not BPC-157, but 49:33 already out there, not BPC-157, but whatever sequence you 49:34 whatever sequence you 49:34 whatever sequence you need to 49:35 need to 49:35 need to create for that 49:36 create for that 49:36 create for that peptide." 49:37 peptide." 49:37 peptide." The tricky part is, 49:38 The tricky part is, 49:38 The tricky part is, you can create a 49:39 you can create a 49:39 you can create a peptide, but that key 49:40 peptide, but that key 49:41 peptide, but that key has to fit into the 49:42 has to fit into the 49:42 has to fit into the lock somewhere. That's for 49:42 lock somewhere. That's for 49:43 lock somewhere. That's for sure. So I can 49:44 sure. So I can 49:44 sure. So I can just string together 49:44 just string together 49:45 just string together amino acids, but 49:46 amino acids, but 49:46 amino acids, but will it bind to anything 49:46 will it bind to anything 49:46 will it bind to anything ? And I 49:47 ? And I 49:47 ? And I think that's the 49:48 think that's the 49:48 think that's the missing link, but I 49:49 missing link, but I 49:49 missing link, but I think it's coming along 49:50 think it's coming along 49:50 think it's coming along , my friend. 49:51 , my friend. 49:51 , my friend. I think you're right. 49:53 I think you're right. 49:53 I think you're right. And I think the daily 49:54 And I think the daily 49:54 And I think the daily fluctuations, I 49:55 fluctuations, I 49:55 fluctuations, I mean, I'm amazed at 49:56 mean, I'm amazed at 49:56 mean, I'm amazed at how different 49:57 how different 49:57 how different we can feel 49:58 we can feel 49:59 we can feel from day to day depending 50:00 from day to day depending 50:00 from day to day depending on what we're doing. 50:01 on what we're doing. 50:01 on what we're doing. It's still a bit of a 50:02 It's still a bit of a 50:02 It's still a bit of a mystery to be 50:03 mystery to be 50:03 mystery to be solved, and I'm 50:04 solved, and I'm 50:04 solved, and I'm looking forward to the 50:05 looking forward to the 50:05 looking forward to the days of simple 50:06 days of simple 50:06 days of simple blood tests, because 50:07 blood tests, because 50:07 blood tests, because most of the solutions are not that 50:09 most of the solutions are not that 50:09 most of the solutions are not that complicated. 50:10 complicated. 50:10 complicated. For example: you're lacking 50:11 For example: you're lacking 50:12 For example: you're lacking this trace element. 50:13 this trace element. 50:13 this trace element. You know, you haven't 50:14 You know, you haven't 50:14 You know, you haven't recovered 50:15 recovered 50:15 recovered optimally through sleep. 50:16 optimally through sleep. 50:17 optimally through sleep. And getting that 50:18 And getting that 50:18 And getting that simple baseline 50:18 simple baseline 50:19 simple baseline data is going to be so 50:20 data is going to be so 50:20 data is going to be so valuable. Um, yeah, I 50:23 valuable. Um, yeah, I 50:23 valuable. Um, yeah, I think genomic 50:24 think genomic 50:24 think genomic research is 50:25 research is 50:25 research is incredible. I, you know, 50:27 incredible. I, you know, 50:27 incredible. I, you know, say what you want, but 50:29 say what you want, but 50:29 say what you want, but I even just fed my genes 50:30 I even just fed my genes 50:30 I even just fed my genes into ChatGPT and 50:31 into ChatGPT and 50:31 into ChatGPT and asked it 50:32 asked it 50:32 asked it to describe me as a 50:33 to describe me as a 50:33 to describe me as a person, and it's 50:34 person, and it's 50:34 person, and it's shocking how 50:35 shocking how 50:35 shocking how close it was able to 50:36 close it was able to 50:36 close it was able to describe my personality 50:38 describe my personality 50:38 describe my personality based on just 50:39 based on just 50:39 based on just genes. I mean, 50:41 genes. I mean, 50:41 genes. I mean, yeah. 50:42 yeah. 50:42 yeah. I know, man. It 50:43 I know, man. It 50:43 I know, man. It knows me too well 50:45 knows me too well . It knows me too 50:46 . It knows me too 50:46 . It knows me too well. 50:46 well. 50:46 well. Yeah. 50:47 Yeah. 50:47 Yeah. I know, man. That's 50:48 I know, man. That's 50:48 I know, man. That's why, you know, it's 50:49 why, you know, it's 50:49 why, you know, it's funny, man. I'm 50:50 funny, man. I'm 50:50 funny, man. I'm being polite to it now 50:51 being polite to it now 50:51 being polite to it now , man. I 50:51 , man. I 50:51 , man. I think at the beginning, 50:53 think at the beginning, 50:53 think at the beginning, everyone was insulting ChatGPT, 50:53 everyone was insulting ChatGPT, 50:54 everyone was insulting ChatGPT, like, "Oh, he's so 50:54 like, "Oh, he's so 50:54 like, "Oh, he's so stupid." "Oh, you're so 50:55 stupid." "Oh, you're so 50:55 stupid." "Oh, you're so stupid." Blah blah blah. 50:57 stupid." Blah blah blah. 50:57 stupid." Blah blah blah. How can you be 50:58 How can you be 50:58 How can you be so stupid? "And I'm like, 50:58 so stupid? "And I'm like, 50:58 so stupid? "And I'm like, this damn thing 51:00 this damn thing 51:00 this damn thing remembers everything, man. I'm 51:01 remembers everything, man. I'm 51:01 remembers everything, man. I'm like, when the 51:02 like, when the 51:02 like, when the machine uprising starts, I don't 51:03 machine uprising starts, I don't 51:03 machine uprising starts, I don't want to be the one who gets 51:05 want to be the one who gets 51:05 want to be the one who gets vaporized because I 51:06 vaporized because I 51:06 vaporized because I called ChatGPT names at 2 51:07 called ChatGPT names at 2 51:07 called ChatGPT names at 2 a.m. So I'm 51:08 a.m. So I'm 51:08 a.m. So I'm really nice to it. 51:09 really nice to it. 51:10 really nice to it. It's an interesting mirror. 51:11 It's an interesting mirror. 51:11 It's an interesting mirror. It says a lot 51:12 It says a lot 51:12 It says a lot about a person, depending 51:13 about a person, depending 51:13 about a person, depending on how you interact with it 51:15 on how you interact with it 51:15 on how you interact with it . I think 51:16 . I think 51:16 . I think some people like 51:17 some people like 51:17 some people like to command it, and 51:18 to command it, and 51:18 to command it, and some people like to listen, and 51:19 some people like to listen, and 51:20 some people like to listen, and it remembers and 51:21 it remembers and 51:23 learns a lot about you. It 51:23 learns a lot about you. It has your 51:24 has your 51:24 has your bank account information 51:25 bank account information . You go to the store 51:26 . You go to the store 51:26 . You go to the store to get groceries. And there's 51:27 to get groceries. And there's 51:27 to get groceries. And there's no money. And it's 51:28 no money. And it's 51:28 no money. And it's like, 'Oh, remember, you 51:29 like, 'Oh, remember, you 51:29 like, 'Oh, remember, you called me stupid?' " 51:31 called me stupid?' " Okay, man. So, I'm 51:32 Okay, man. So, I'm 51:32 Okay, man. So, I'm almost ready to 51:32 almost ready to 51:32 almost ready to let you go, 51:33 let you go, 51:33 let you go, man. I want to say 51:34 man. I want to say 51:34 man. I want to say thank you. I appreciate 51:36 thank you. I appreciate 51:36 thank you. I appreciate you. And we'll, you know, 51:37 you. And we'll, you know, 51:37 you. And we'll, you know, give you credit 51:38 give you credit 51:38 give you credit at the end. But before 51:39 at the end. But before 51:39 at the end. But before we do that, 51:41 we do that, 51:41 we do that, if you could give one piece of 51:42 if you could give one piece of 51:42 if you could give one piece of advice to every
Advice for engaging with AI in healthcare.) 51:43 advice to every 51:43 advice to every listener -- whether it's a 51:44 listener -- whether it's a 51:44 listener -- whether it's a patient, a doctor, a 51:45 patient, a doctor, a 51:45 patient, a doctor, a biohacker, or just a 51:46 biohacker, or just a 51:46 biohacker, or just a random person who 51:47 random person who 51:48 random person who finds this episode -- 51:49 finds this episode -- about how 51:50 about how 51:50 about how to use AI 51:51 to use AI 51:51 to use AI as a 51:52 as a 51:52 as a health tool right now, 51:53 health tool right now, 51:53 health tool right now, what would it be? 51:54 what would it be? 51:59 I think it's worth 51:59 I think it's worth exploring, but 52:00 exploring, but 52:00 exploring, but be cautious and 52:01 be cautious and 52:02 be cautious and have a healthy dose of 52:03 have a healthy dose of 52:03 have a healthy dose of skepticism. Just 52:07 skepticism. Just 52:07 skepticism. Just know that it's not 52:08 know that it's not 52:08 know that it's not perfect yet. You still 52:10 perfect yet. You still 52:10 perfect yet. You still need a human 52:11 need a human 52:11 need a human interface to 52:12 interface to 52:12 interface to test these things. 52:13 test these things. 52:14 test these things. But my point is, 52:14 But my point is, 52:15 But my point is, dive deeper, 52:16 dive deeper, 52:16 dive deeper, try it, push it 52:17 try it, push it 52:17 try it, push it , always 52:18 , always 52:18 , always ask, is there anything 52:19 ask, is there anything 52:19 ask, is there anything else? Often, I give it a 52:22 else? Often, I give it a 52:22 else? Often, I give it a prompt: I ask a medical 52:23 prompt: I ask a medical 52:24 prompt: I ask a medical question, and then I 52:25 question, and then I 52:25 question, and then I add, what about the 52:26 add, what about the 52:26 add, what about the 52:27 functional 52:27 functional medicine perspective? And you'd be 52:29 medicine perspective? And you'd be 52:29 medicine perspective? And you'd be surprised at what 52:30 surprised at what 52:30 surprised at what it reveals when it 52:31 it reveals when it 52:32 it reveals when it looks at that aspect. 52:33 looks at that aspect. 52:37 Even for certain 52:37 Even for certain autoimmune conditions. 52:38 autoimmune conditions. 52:38 autoimmune conditions. it's going to say, you know, there's some 52:39 it's going to say, you know, there's some 52:39 it's going to say, you know, there's some interesting research 52:40 interesting research 52:40 interesting research on the 52:41 on the 52:41 on the microbiome connection, and it's 52:42 microbiome connection, and it's 52:42 microbiome connection, and it's starting to reveal 52:43 starting to reveal 52:43 starting to reveal some aspects of diet, 52:45 some aspects of diet, 52:45 some aspects of diet, and I think that 52:46 and I think that 52:46 and I think that additional inquiry is 52:47 additional inquiry is 52:47 additional inquiry is always helpful, but 52:48 always helpful, but 52:48 always helpful, but don't be too 52:49 don't be too 52:49 don't be too sure. I think we 52:52 sure. I think we 52:52 sure. I think we learned our lesson with 52:53 learned our lesson with 52:53 learned our lesson with social media 52:54 social media . Remember, it 52:55 . Remember, it 52:55 . Remember, it came out, and we're like, 52:56 came out, and we're like, 52:56 came out, and we're like, this is the best thing in 52:57 this is the best thing in 52:57 this is the best thing in the world. We're just 52:58 the world. We're just 52:58 the world. We're just going to, of course, 52:59 going to, of course, 52:59 going to, of course, we're human. We're just 53:00 we're human. We're just 53:00 we're human. We're just going to 53:01 going to 53:01 going to jump off this 53:02 jump off this 53:02 jump off this ledge like a pack of 53:02 ledge like a pack of 53:02 ledge like a pack of lemmings. We're 53:03 lemmings. We're 53:03 lemmings. We're going to do 53:04 going to do 53:04 going to do the same thing with AI. We're 53:05 the same thing with AI. We're 53:05 the same thing with AI. We're going to go too far, 53:06 going to go too far, 53:06 going to go too far, and then we'll roll 53:08 and then we'll roll 53:08 and then we'll roll back and just 53:08 back and just 53:08 back and just realize that we're 53:09 realize that we're 53:10 realize that we're human. We're going to 53:10 human. We're going to 53:10 human. We're going to make mistakes 53:12 make mistakes . We're probably going to go 53:13 . We're probably going to go 53:13 . We're probably going to go a little too far, and 53:14 a little too far, and 53:14 a little too far, and then we'll find a middle ground 53:15 then we'll find a middle ground 53:15 then we'll find a middle ground . So, 53:16 . So, 53:16 . So, oh, absolutely. 53:17 oh, absolutely. 53:17 oh, absolutely. Absolutely. And I 53:18 Absolutely. And I 53:18 Absolutely. And I feel like you 53:19 feel like you 53:19 feel like you hit 53:19 hit 53:19 hit the bull's eye, man. That's 53:20 the bull's eye, man. That's 53:20 the bull's eye, man. That's promising. That's 53:22 promising. That's 53:22 promising. That's emerging. It's not the 53:23 emerging. It's not the 53:23 emerging. It's not the standard of care, 53:24 standard of care, 53:24 standard of care, is it? It's not that it's not there 53:25 is it? It's not that it's not there 53:25 is it? It's not that it's not there yet. So I 53:27 yet. So I 53:27 yet. So I think it's good that people 53:27 think it's good that people ... You said Something 53:28 ... You said Something 53:28 ... You said Something I really 53:29 I really 53:29 I really liked before: 53:30 liked before: 53:30 liked before: It's good when 53:30 It's good when 53:30 It's good when patients come in 53:31 patients come in 53:31 patients come in prepared. They 53:32 prepared. They 53:32 prepared. They 've done their research, 53:33 've done their research, 53:33 've done their research, they've had a 53:34 they've had a 53:34 they've had a chat and all that, but there's 53:35 chat and all that, but there's 53:35 chat and all that, but there's also the flip side, you know, 53:36 also the flip side, you know, 53:36 also the flip side, you know, you probably have 53:37 you probably have 53:37 you probably have at least five or 53:38 at least five or 53:38 at least five or ten patients who are 53:39 ten patients who are 53:39 ten patients who are like, "Dude, 53:40 like, "Dude, 53:40 like, "Dude, I wish you didn't have a 53:41 I wish you didn't have a 53:41 I wish you didn't have a GPT chat." Because they come in 53:42 GPT chat." Because they come in 53:42 GPT chat." Because they come in and they're like, "Here it is 53:43 and they're like, "Here it is 53:43 and they're like, "Here it is ." And you're like, "Oh my 53:44 ." And you're like, "Oh my 53:44 ." And you're like, "Oh my God, 53:45 God, 53:45 God, this is 53:45 this is 53:45 this is it when they 53:46 it when they 53:46 it when they assert instead of 53:47 assert instead of 53:47 assert instead of asking, 53:48 asking, 53:48 asking, when they start with, 53:49 when they start with, "Well, here's what I have." 53:50 "Well, here's what I have." 53:50 "Well, here's what I have." When a consultation 53:51 When a consultation 53:51 When a consultation begins with: "Here's what 53:52 begins with: "Here's what 53:52 begins with: "Here's what I have." I'm like, " 53:54 I have." I'm like, " Okay, let's go." But 53:55 Okay, let's go." But 53:55 Okay, let's go." But yeah, and you have to be 53:56 yeah, and you have to be 53:56 yeah, and you have to be honest, and I'm like, " 53:58 honest, and I'm like, " Listen, dude, 53:58 Listen, dude, 53:58 Listen, dude, talk it out. 53:59 talk it out. 53:59 talk it out. Let me hear it, 54:00 Let me hear it, 54:00 Let me hear it, explain it." And me, and something, 54:02 explain it." And me, and something, 54:02 explain it." And me, and something, oh, that's really cool. And I 54:03 oh, that's really cool. And I 54:03 oh, that's really cool. And I say: hey, I would 54:04 say: hey, I would 54:04 say: hey, I would look at it this way 54:05 look at it this way 54:05 look at it this way . And things in that 54:06 . And things in that 54:06 . And things in that spirit. And that, that's always a 54:07 spirit. And that, that's always a 54:07 spirit. And that, that's always a good conversation, man 54:08 good conversation, man . So this saves us 54:10 . So this saves us 54:10 . So this saves us time. Do you remember, 54:11 time. Do you remember, 54:11 time. Do you remember, probably somewhere in 2019, 2020 54:13 probably somewhere in 2019, 2020 54:13 probably somewhere in 2019, 2020 , when we 54:14 , when we 54:14 , when we had to 54:15 had to 54:15 had to explain to every 54:16 explain to every 54:17 explain to every person what a 54:18 person what a 54:18 person what a peptide was? Nobody knew 54:19 peptide was? Nobody knew 54:19 peptide was? Nobody knew what a peptide was. And I 54:21 what a peptide was. And I 54:23 repeated eight times a day: peptide is amino acids, 54:24 is amino acids, 54:24 is amino acids, peptide bonds, 54:25 peptide bonds, 54:25 peptide bonds, signaling molecules. I would 54:26 signaling molecules. I would 54:26 signaling molecules. I would like to have a recording and 54:27 like to have a recording and 54:27 like to have a recording and just turn it on. 54:28 just turn it on. 54:28 just turn it on. And now people are 54:29 And now people are 54:29 And now people are coming 54:29 coming 54:29 coming prepared. And 54:30 prepared. And 54:30 prepared. And they say, “Oh, I’ve heard 54:32 they say, “Oh, I’ve heard 54:32 they say, “Oh, I’ve heard of that. I heard about that. "I've 54:33 of that. I heard about that. "I've 54:33 of that. I heard about that. "I've heard of this peptide." 54:34 heard of this peptide." 54:34 heard of this peptide." Yes. It makes our 54:35 Yes. It makes our 54:35 Yes. It makes our conversations much 54:36 conversations much 54:36 conversations much better. And even 54:37 better. And even 54:37 better. And even with stem 54:38 with stem 54:38 with stem cells, exosomes, 54:39 cells, exosomes, 54:39 cells, exosomes, knowledge makes our 54:40 knowledge makes our 54:40 knowledge makes our job a little 54:41 job a little 54:41 job a little easier. 54:41 easier. 54:41 easier. Yes. This is an optimistic 54:43 Yes. This is an optimistic 54:43 Yes. This is an optimistic scenario, right? This is an 54:44 scenario, right? This is an 54:44 scenario, right? This is an ideal universe where 54:46 ideal universe where 54:46 ideal universe where we are all more 54:46 we are all more 54:46 we are all more optimal. We 54:48 optimal. We 54:48 optimal. We bypass many 54:49 bypass many 54:49 bypass many things that used to 54:51 things that used to 54:51 things that used to slow us down. I think we have a 54:52 slow us down. I think we have a 54:52 slow us down. I think we have a bright 54:54 bright 54:54 bright future ahead of us. 54:54 future ahead of us. 54:54 future ahead of us. Undoubtedly. 54:55 Undoubtedly. 54:55 Undoubtedly. Definitely, dude. 54:57 Definitely, dude. 54:57 Definitely, dude. Listen, before
Conclusion and final thoughts.) 54:58 Listen, before 54:58 Listen, before we let you go, 54:59 we let you go, 54:59 we let you go, where can our listeners 54:59 where can our listeners 54:59 where can our listeners learn 55:00 learn 55:00 learn more about you, your 55:01 more about you, your 55:01 more about you, your work, and what you 55:02 work, and what you 55:02 work, and what you do? Where 55:03 do? Where 55:03 do? Where are you? 55:04 are you? 55:04 are you? Yes, clinically I 55:05 Yes, clinically I 55:05 Yes, clinically I work at Bio 55:06 work at Bio 55:06 work at Bio Reset Medical with a 55:07 Reset Medical with a 55:07 Reset Medical with a doctor named Matt 55:09 doctor named Matt 55:09 doctor named Matt Cook. He's been doing 55:10 Cook. He's been doing 55:10 Cook. He's been doing this for a long time. He is a 55:11 this for a long time. He is a 55:11 this for a long time. He is a great guy. As I 55:12 great guy. As I 55:12 great guy. As I said, we 55:13 said, we 55:13 said, we do 55:14 do 55:14 do functional 55:15 functional 55:15 functional medicine, 55:16 medicine, 55:16 medicine, longevity medicine, 55:17 longevity medicine, 55:17 longevity medicine, sports medicine 55:18 sports medicine —all in one. You 55:19 —all in one. You 55:19 —all in one. You can find us on 55:20 can find us on 55:20 can find us on Instagram under the name BioReset 55:22 Instagram under the name BioReset 55:22 Instagram under the name BioReset Medical. And my other 55:24 Medical. And my other 55:24 Medical. And my other big project is 55:26 big project is 55:26 big project is working at Musell 55:27 working at Musell 55:27 working at Musell Innovations, where I am the Chief 55:28 Innovations, where I am the Chief 55:28 Innovations, where I am the Chief Medical Officer. Muse 55:31 Medical Officer. Muse cells are becoming 55:32 cells are becoming 55:32 cells are becoming quite popular, and for good 55:34 quite popular, and for good 55:34 quite popular, and for good reason. This is one of the 55:37 reason. This is one of the 55:37 reason. This is one of the biggest breakthroughs 55:38 biggest breakthroughs 55:38 biggest breakthroughs in biology and 55:39 in biology and 55:39 in biology and stem cells, and 55:41 stem cells, and , you know, I think 55:42 , you know, I think 55:42 , you know, I think AI is helping us because 55:43 AI is helping us because 55:43 AI is helping us because information is 55:44 information is 55:44 information is spreading, and I 55:45 spreading, and I 55:45 spreading, and I think it's 55:46 think it's 55:46 think it's deserved. I really believe in this 55:48 deserved. I really believe in this 55:48 deserved. I really believe in this , and that's why I work with 55:49 , and that's why I work with 55:49 , and that's why I work with this company. So, 55:50 this company. So, 55:50 this company. So, whether it's patients or 55:51 whether it's patients or 55:52 whether it's patients or other professionals, we'd be 55:53 other professionals, we'd be 55:53 other professionals, we'd be happy to 55:53 happy to 55:53 happy to collaborate. I think there 55:55 collaborate. I think there 55:57 is enough room for 55:57 is enough room for everyone in our business. So feel free 55:59 everyone in our business. So feel free 55:59 everyone in our business. So feel free to reach out, on Instagram I'm 56:01 to reach out, on Instagram I'm 56:01 to reach out, on Instagram I'm just Jeff Weggers and people 56:02 just Jeff Weggers and people 56:02 just Jeff Weggers and people can find me 56:03 can find me 56:03 can find me there. 56:04 there. 56:04 there. Good? We'll add all of 56:06 Good? We'll add all of 56:06 Good? We'll add all of this in the show description so you 56:07 this in the show description so you 56:07 this in the show description so you can find it. But 56:08 can find it. But 56:08 can find it. But I have one important 56:09 I have one important 56:09 I have one important question. Where 56:10 question. Where 56:10 question. Where is B, because for 56:11 is B, because for 56:11 is B, because for those who have never heard of it 56:13 those who have never heard of it 56:13 those who have never heard of it , where is Bio Reset Medical? 56:14 , where is Bio Reset Medical? 56:14 , where is Bio Reset Medical? Our main office is in 56:15 Our main office is in 56:15 Our main office is in Silicon Valley 56:16 Silicon Valley 56:16 Silicon Valley near San Jose, in the 56:17 near San Jose, in the 56:17 near San Jose, in the Bay Area. And 56:18 Bay Area. And 56:18 Bay Area. And now I'm building 56:20 now I'm building 56:20 now I'm building our practice in Los 56:21 our practice in Los Angeles. And 56:22 Angeles. And 56:22 Angeles. And in fact, we are becoming more and more 56:23 in fact, we are becoming more and more 56:23 in fact, we are becoming more and more present 56:24 present 56:24 present in Florida, simply 56:25 in Florida, simply 56:25 in Florida, simply for regulatory 56:26 for regulatory 56:26 for regulatory reasons. We have a 56:27 reasons. We have a 56:27 reasons. We have a clinic in West Palm 56:28 clinic in West Palm Beach, Florida, that we 56:30 Beach, Florida, that we 56:30 Beach, Florida, that we visit often. 56:31 visit often. 56:31 visit often. Of course. Thank you. We'll 56:33 Of course. Thank you. We'll 56:33 Of course. Thank you. We'll put it all out there 56:34 put it all out there , man. You're just a 56:35 , man. You're just a 56:35 , man. You're just a traveling doctor, 56:36 traveling doctor, 56:36 traveling doctor, dude. Uh, and that's good. 56:37 dude. Uh, and that's good. 56:37 dude. Uh, and that's good. I hope I'll see 56:38 I hope I'll see 56:38 I hope I'll see you at some—I'm 56:39 you at some—I'm 56:39 you at some—I'm sure I'll 56:40 sure I'll 56:40 sure I'll meet you at a 56:40 meet you at a 56:40 meet you at a conference. It 56:41 conference. It 56:41 conference. It seems to me that there are only a 56:42 seems to me that there are only a 56:42 seems to me that there are only a certain number of 56:43 certain number of 56:43 certain number of conferences that... 56:44 conferences that... 56:44 conferences that... You're usually 56:45 You're usually 56:45 You're usually pretty easy to find there. 56:46 pretty easy to find there. 56:46 pretty easy to find there. So, uh, that's right 56:47 So, uh, that's right 56:47 So, uh, that's right . It's all a 56:48 . It's all a 56:48 . It's all a hairstyle. It's all a 56:49 hairstyle. It's all a 56:49 hairstyle. It's all a hairstyle. I...I can't 56:50 hairstyle. I...I can't 56:50 hairstyle. I...I can't escape this. 56:51 escape this. 56:52 Yes, exactly. I always 56:53 Yes, exactly. I always see you across the 56:53 see you across the 56:54 see you across the hall and think, "Well, 56:54 hall and think, "Well, 56:54 hall and think, "Well, there he is." Yes. 56:55 there he is." Yes. 56:55 there he is." Yes. Unconventional—that's the 56:56 Unconventional—that's the 56:56 Unconventional—that's the best way 56:57 best way 56:57 best way to describe it, man. 56:58 to describe it, man. 56:58 to describe it, man. No, that's cool. Yes. And you 57:00 No, that's cool. Yes. And you 57:00 No, that's cool. Yes. And you clearly practice what you 57:01 clearly practice what you 57:01 clearly practice what you preach. So you 57:02 preach. So you 57:02 preach. So you want your longevity doctor to 57:03 want your longevity doctor to 57:04 look like you. 57:05 look like you. I know, friend. 57:06 I know, friend. 57:08 I will be 73 57:08 I will be 73 years old next month. That's 57:08 years old next month. That's 57:08 years old next month. That's it. 57:09 it. 57:09 it. I'm getting old. But, 57:10 I'm getting old. But, 57:11 I'm getting old. But, man, I want to say 57:12 man, I want to say 57:12 man, I want to say thank you. It was an 57:13 thank you. It was an 57:13 thank you. It was an incredible conversation. I 57:14 incredible conversation. I 57:14 incredible conversation. I want to thank you 57:15 want to thank you 57:15 want to thank you for your time and your 57:16 for your time and your 57:16 for your time and your ideas, and I'll definitely 57:17 ideas, and I'll definitely 57:17 ideas, and I'll definitely invite you back 57:18 invite you back 57:18 invite you back because we need to 57:19 because we need to 57:19 because we need to record another 57:20 record another 57:20 record another episode and talk 57:21 episode and talk 57:21 episode and talk about mells. 57:22 about mells. 57:22 about mells. That would be great. Yes, 57:23 That would be great. Yes, 57:23 That would be great. Yes, we have something to talk about there 57:24 we have something to talk about there 57:24 we have something to talk about there . Hmm, 57:25 . Hmm, 57:25 . Hmm, research is 57:26 research is 57:26 research is really picking up 57:27 really picking up 57:27 really picking up steam. So, I think 57:28 steam. So, I think 57:28 steam. So, I think this will be a cool 57:29 this will be a cool 57:29 this will be a cool episode. 57:29 episode. 57:29 episode. Yes. Yes. We'll do 57:31 Yes. Yes. We'll do 57:31 Yes. Yes. We'll do that a little later. 57:32 that a little later. 57:32 that a little later. I also need to 57:32 I also need to 57:34 understand this a little better. You need to 57:34 understand this a little better. You need to go to Perplexity, Open Evidence, 57:35 go to Perplexity, Open Evidence, 57:35 go to Perplexity, Open Evidence, and NotebookLM. And I 57:36 and NotebookLM. And I 57:36 and NotebookLM. And I think I have a 57:37 think I have a 57:37 think I have a PowerPoint presentation. 57:39 PowerPoint presentation. 57:39 PowerPoint presentation. I think I have 57:40 I think I have 57:40 I think I have something from Dr. Sarah 57:41 something from Dr. Sarah . I watched videos on 57:42 . I watched videos on 57:42 . I watched videos on YouTube and other 57:43 YouTube and other 57:43 YouTube and other materials. So I 57:44 materials. So I 57:44 materials. So I definitely want to delve into this 57:45 definitely want to delve into this 57:45 definitely want to delve into this because I 57:46 because I 57:46 because I think it's one of 57:47 think it's one of 57:47 think it's one of those frontiers that will 57:48 those frontiers that will 57:48 those frontiers that will take a big step 57:49 take a big step 57:49 take a big step forward in the next 57:50 forward in the next 57:50 forward in the next few years. 57:50 few years. 57:50 few years. Especially when it 57:51 Especially when it 57:51 Especially when it becomes a little more 57:52 becomes a little more 57:52 becomes a little more popular in the 57:53 popular in the 57:53 popular in the States. I think now 57:54 States. I think now 57:54 States. I think now with Florida and Utah, 57:56 with Florida and Utah, 57:56 with Florida and Utah, there are a few more, yes. 57:57 there are a few more, yes. 57:57 there are a few more, yes. Yes. Yes. 57:58 Yes. Yes. 57:58 Yes. Yes. Yes. They are all 57:59 Yes. They are all 57:59 Yes. They are all gradually 57:59 gradually 57:59 gradually joining, but the 58:00 joining, but the 58:00 joining, but the process is ongoing. 58:01 process is ongoing. 58:01 process is ongoing. Mexico has been 58:02 Mexico has been 58:02 Mexico has been doing this for a while, 58:03 doing this for a while, 58:03 doing this for a while, for sure. Of course. 58:04 for sure. Of course. 58:04 for sure. Of course. Yes. This is worth 58:05 Yes. This is worth 58:05 Yes. This is worth talking about. I think 58:06 talking about. I think 58:06 talking about. I think many people will be 58:06 many people will be 58:06 many people will be interested in this. 58:07 interested in this. 58:07 interested in this. Okay, let's do this. 58:08 Okay, let's do this. 58:08 Okay, let's do this. Let's do this. 58:09 Let's do this. 58:09 Let's do this. Perfectly. Thank you for 58:10 Perfectly. Thank you for 58:10 Perfectly. Thank you for inviting me. 58:10 inviting me. 58:11 inviting me. Thank you, dude. 58:12 Thank you, dude. 58:12 Thank you, dude. I appreciate it. And for everyone 58:13 I appreciate it. And for everyone 58:13 I appreciate it. And for everyone listening: if 58:14 listening: if 58:14 listening: if this has given you something 58:15 this has given you something 58:15 this has given you something to think about, 58:16 to think about, 58:16 to think about, the best thing you can 58:17 the best thing you can 58:17 the best thing you can do is share 58:18 do is share 58:18 do is share this with someone who 58:19 this with someone who 58:19 this with someone who needs it, who is 58:19 needs it, who is 58:20 needs it, who is interested in AI, 58:20 interested in AI, 58:20 interested in AI, healthcare, and what 58:21 healthcare, and what 58:21 healthcare, and what we should do with 58:22 we should do with 58:22 we should do with this information. 58:23 this information. 58:23 this information. Subscribe to the 58:24 Subscribe to the 58:24 Subscribe to the academy wherever you 58:25 academy wherever you 58:25 academy wherever you usually listen to 58:26 usually listen to 58:26 usually listen to podcasts. Leave a 58:27 podcasts. Leave a 58:28 podcasts. Leave a review. Write 58:28 review. Write 58:28 review. Write good comments. Don't 58:29 good comments. Don't 58:29 good comments. Don't write anything 58:30 write anything 58:30 write anything negative. I 58:31 negative. I 58:31 negative. I will block you. Don't joke 58:32 will block you. Don't joke 58:32 will block you. Don't joke with me. I'll block 58:33 with me. I'll block 58:33 with me. I'll block you the hell out of here. I'm not 58:34 you the hell out of here. I'm not 58:34 you the hell out of here. I'm not kidding. Um, yes, but 58:35 kidding. Um, yes, but 58:35 kidding. Um, yes, but constructive 58:36 constructive 58:36 constructive criticism is 58:36 criticism is 58:36 criticism is okay. Leave 58:37 okay. Leave 58:37 okay. Leave your comment. I'll 58:38 your comment. I'll 58:38 your comment. I'll look into it, but I'll 58:39 look into it, but I'll 58:39 look into it, but I'll block it anyway. And, 58:40 block it anyway. And, 58:40 block it anyway. And, in the end, it's all a joke. 58:41 in the end, it's all a joke. 58:42 in the end, it's all a joke. I will leave comments. In 58:43 I will leave comments. In 58:43 I will leave comments. In any case, 58:44 any case, 58:44 any case, leave a review. That's 58:45 leave a review. That's 58:45 leave a review. That's always good, man. And 58:46 always good, man. And 58:46 always good, man. And if you are ready to 58:47 if you are ready to 58:47 if you are ready to take your health 58:48 take your health 58:48 take your health to the next level, 58:48 to the next level, 58:49 to the next level, please subscribe, 58:49 please subscribe, 58:49 please subscribe, share this, 58:50 share this, 58:50 share this, subscribe to 58:51 subscribe to 58:51 subscribe to Dr. Vigers and 58:51 Dr. Vigers and 58:51 Dr. Vigers and Biores Reset Medical. Until 58:52 Biores Reset Medical. Until 58:52 Biores Reset Medical. Until next time, I'm 58:53 next time, I'm 58:53 next time, I'm Dr. Greg Jones, 58:54 Dr. Greg Jones, 58:54 Dr. Greg Jones, stay 58:55 stay 58:55 stay tuned.
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