Full Transcript 0:01 from the heart of Dubai, where tomorrow is being built today to the world. 0:07 Welcome to The CTO Show with Mehmet. 0:12 Here, we redefine technology and reimagine possibilities. 0:17 With Mehmet, delve into the riveting realms of AI, cybersecurity, and digital technology. 0:25 Experience the thrilling highs and lows of startups. 0:29 Immerse yourself in the spirit of entrepreneurship and witness the future of business innovation being written in real time. 0:39 Without further ado, let's tune in and explore the future. 0:45 Hello and welcome back to a new episode of the CTO show with Mehmet. 0:49 Today, I'm very pleased joining me from Texas, the US, Harvey Castro. 0:54 Harvey, thank you very much for being with me on the show. 0:57 As I was explaining to you before we started, The way I love to do it, is I have my guests to introduce themselves. 1:05 because I have a belief that no one can introduce someone else better than themselves. 1:09 So tell us a little bit more about you, of course, like your known face in your domain, but still for the people who aren't living in my part of the world. 1:22 Tell us about what you are up to. 1:26 Yeah. 1:26 Well, I appreciate you having me. 1:27 It's an honor to be here. 1:29 I love doing this information stuff just because I'm able to just help and teach. 1:35 So a little bit of background for me, i call myself a bit like a nutty professor. 1:39 i love life and i just love anything that i see that there's a pain point i jump right in. 1:46 To give you a quick background, I come from New York City, real humble beginning, grew up in poverty and that'll explain why I probably am this overachiever. 1:55 I'm an ER physician with over 20 years experience.I have done a lot of interesting items at age 16, had my first business that was successful and I was 2:06 actually paying for my own insurance, my car and doing well. 2:09 By the time I was in medical school, I writing Cliff Notes and selling many books to my medical students. 2:17 By that time, when I'm in residency, decided to create my own vitamin company and they went national and I had my brand and formulation and got a group 2:25 of advisors and sold internationally as well. 2:28 by the time I was in a recent graduate from medical school. 2:34 And so I playing with the iPhone and I coding a patient in the emergency room. 2:39 Unfortunately, my patient was dying in an emergency one seconds count. 2:44 I told my nurse, hey, we need to start this IV drip. 2:47 She said one minute, she got a textbook and started thumbing through it, found the dose, verified and said, okay, let's go. 2:52 Then I thought, oh my gosh, I'm looking at the IPhone. 2:56 Let's create an app. 2:57 And so I created the first app in the world, it was called Ivy Meds. 3:00 It went viral, and I was able to originally teach myself how to program. 3:05 And after that, I got so much people buying it that I hired a team and created another 35 apps in healthcare. 3:12 Then fast forward, i'm working in an emergency room again and i am not happy with the way the hospital is treating patients. 3:19 They are calling me saying hurry up. 3:22 They're telling me don't order so much, don''t spend so money. 3:24 And then you got to see the patients quickly. 3:26 I thought, you know, I'm a doctor. 3:28 Not supposed to push people fast. 3:31 Supposed to take care of people, take my time, give them my love. 3:34 Long story short, uh, said, You know what? 3:37 I'll start my own health care system. 3:38 So I got a group of investors. 3:40 Created over 20 emergency rooms. 3:42 Packaged them. 3:43 Had my billing company, staffing company and basically sold it. 3:48 Fast forward, the last part. 3:50 I'm here playing with chat GPT. 3:51 It's November of 2022. And I am thinking, oh my God, it was that iPhone moment. 3:56 I thought this is going to change healthcare. 3:59 This is gonna revolutionize the way we do things. 4:06 And within three weeks, I was on a sabbatical, so I could do nothing but write. 4:09 So I wrote it. 4:10 I submitted it and I had my book out. 4:12 And I remember telling my wife, talking about it, and she'd come in, she's like, why are you so obsessed? 4:16 What are doing? 4:17 And that's oh, there's this thing called ChatGPT. 4:18 and She's, like Chat GPT who? 4:20 Just like no one's going to read your book. 4:22 No, everyone's gonna think you're crazy. 4:25 Don't waste your time. 4:26 Fast forward. 4:27 Have been invited to go around the world, China, Germany. 4:31 Australia. 4:32 Uh, as a keynote speaker, I've been talking around the world about health care and how to use tattoo BT. 4:37 So I know that was a little bit long, but I kind of wanted to give you a nice background of everything. 4:42 No, no, it's not long at all. 4:43 Actually, It's very hooking. 4:45 I would say, you know, II get hooked while you speak Harvey and really very inspiring. 4:51 Out say career. 4:52 But, You know I'm always when I talk to my guests looking bit you know, curious to know. 5:02 You mentioned a little bit of the background, and now maybe we'll understand more from you. 5:07 So you choose to be in healthcare, but at the same time, you became an entrepreneur. 5:17 And this is, I would say, a kind of a rare thing that happens. 5:25 was your background and, you know, maybe early in your life, so you told me like you were overcoming some challenges, did that play a role for you to be 5:37 in both sides? 5:39 Because honestly, Harvey, and I discussed it with one of my guests before, that she was in healthcare. 5:46 So we said that rarely you see people who go in health care and become entrepreneurs at the same time. 5:55 So it's a kind of a rare situation. 5:58 Tell me more. 5:59 What brought you to all this? 6:02 What was the motivation behind? 6:04 Yeah, I know it's going to sound very cliche-ish, but I love people, love serving. 6:11 I just have this passion and I think that passion is what made me a doctor. 6:15 But then I tend to be, like to fix things. 6:19 Uh, was just talking to my mom yesterday and she said she had a problem. 6:23 And I said, Oh, you should do this, this and that. 6:25 She's like, Harvey, You always come up with ideas and solutions. 6:29 She's like, you don't think normal like every other person. 6:32 The way your brain thinks is very looking at outside the box or fixing problems. 6:36 And I think having that passion to serve people and then seeing a pain point in healthcare saying, oh my God, we need to fix this. 6:45 And then combining healthcare, entrepreneurship, wearing my CEO hat, now that I have AI wearing the AI hat and putting it all together is making me really 6:56 passionate about fixing. 6:58 And so to answer your question also, I think it's this internal fear of not having and not that i'm saying I'm greedy. 7:05 I am happy that have a roof over my head and that can eat every day. 7:09 I'm just saying just this passion to always work hard and always improve. 7:14 I just have this in me. 7:15 Even when I was running eight hospitals and I had 350 employees, I still wanted to improve, but I will still asking the front people and the janitors, 7:23 hey, how can I do better? 7:25 What can i do? 7:27 You would find me walking around the building picking up trash cleaning the bathrooms because I wanted to make sure that this business was pristine and 7:34 that if the CEO of the company would do something that everybody under me would Do the same and so this is kind of this push internally last night I was 7:42 watching TV with my wife and we were watching some of The election results and I said Don't get upset with me. 7:49 But in the future, I want to run for the U.S. 7:51 Congress. 7:52 That is something in my heart, even if it's just one term. 7:55 And I may be 70. I might be 80. You know, Harvey, it's some of the rare moments I would say when someone is speaking and I mentioned this couple of times 8:11 on the podcast, right? 8:12 So you can feel the energy, but although like we are miles away as they say and You know, regarding like thinking differently, 8:23 I'm very much biased, you know. 8:26 Some people love him, some people don't. 8:28 I can understand, but I am very biased by Steve Jobs, and he said like the people who are crazy enough to think they can change the world, 8:37 they are actually the ones who do. 8:38 So I think you are one of these people, who, you always challenge the state school. 8:44 I can feel this. 8:45 We just, you know, start to speak today and people knows that sometimes, You know the guests I met I need them on social media and so on. 8:53 But really, Harvey, I would say this is amazing. 8:56 Now, let's look at the deep dive in some of the things that you are currently working on and I know like you mentioned chat GPT. 9:04 So Now, how did you see the adoption of not only chat GPT, AI in general, in healthcare? 9:13 And I'm asking this, it's not a generic question, because I know how much healthcare, I've been lucky enough to work as a technology consultant back in 9:21 the days. 9:22 And you know, when we used to deal with healthcare they're a different beast that they say that because especially when it comes to something that will 9:31 touch people lives, right? 9:33 You have also some regulations there. 9:36 So tell me what you have seen different this time with ChatGPT and all these other tools and the wave of derivative AI and other AI tools that are available 9:48 to us today. 9:50 Very good question. 9:51 So, you know, obviously AI has been around for over 50 years. 9:56 A lot of people, the difference today is that chat GPT allowed us to use the tools and gave us the tool. 10:03 But that technology, for example, Google invented GPTs. 10:08 It was chat that released it to the public first and it just blew up. 10:13 And so I want everyone to understand there's two flavors. 10:16 There's something called structured data and unstructured. 10:18 I'm not going into the weeds, but this will explain why you'll see so much going on in some fields of medicine and some you won't see much. 10:26 So in the structured part, just think of it. 10:28 If you went to the doctor and you got an x-ray, Or a lot of times it's not film anymore, it digitized. 10:35 That information has been converted to numbers. 10:37 And now that it has converted into numbers, now AI can study those numbers and start analyzing. 10:43 So that's why we've seen all these applications in dermatology, radiology where they can put up an x-ray CAT scan and AI look at it and say, 10:51 oh, here's the cancer, the pneumonia, pathology and disease. 10:56 As opposed to family medicine, when I speak to you and you're my patient, I type everything. 11:02 Hopefully I'm using voice to text. 11:04 But then all that information is not structured. 11:06 You would think it's structured inside the electronic medical record, but in the AI world, it is really not structure. 11:12 And so it a little bit harder to get that infomation and start analyzing. 11:16 Not that it can't be done. 11:17 It can. 11:18 but it' a lot easier to do the other examples. 11:20 That's why we're seeing these machines that can look at your retina and save your diabetes. 11:24 We can this camera right here that I can at my skin, and if it sees a certain little ailment, it can say, yeah, that's cancerous. 11:31 That is why all these algorithms, for example, this the camera feed that you're using right now, my voice, you can actually, 11:39 if you had the algorithm, say Dr. 11:41 Castro's sugar is this, he averages this sugar. 11:44 This camera, right, here, My voice. 11:47 You would be able to tell, You know what? 11:48 He's gonna have Alzheimer's disease. 11:50 He's gonna have, he's actually depressed and actually could tell if I'm lying. 11:56 So all these things, because this information is digital, so I know I am a little long-winded, but just wanted to teach a bit and kind of explain. 12:03 Now let's think about how can we use it in healthcare. 12:06 This is the part that I've so passionate about. 12:08 What is low hanging fruit? 12:09 What can everyone listening that's in health care or as a patient do today? 12:15 One of the simplest things is communication. 12:18 I speak English. 12:19 I'm in Texas, but I am originally from New York City. 12:22 You're in the Middle East. 12:24 And the way I explain things, someone in Middle-East may not understand. 12:29 But if I use AI, and let's be specific to ChatGPT or Claude, any of the GPTs, I can now talk to you and talk you. 12:38 Let me explain what I mean by that. 12:40 I can say, okay, I need to talk to my friend here, but I needed to use examples from the Middle East. 12:46 And so now, instead of me using examples form Texas, or use the US Cowboys for football, i can talk about soccer. 12:53 I could talk different things there, and when I'm explaining your health, then I start using that. 12:58 Then you, as a patient, you're going to look at me and be like, man, my doctor, he knows. 13:03 how to talk to me, but not only that. 13:05 Let's pretend you have a child that's five years old and I need to communicate. 13:10 If I use AI to use the words of how you speak to a five-year-old, then I'm using the verbiage of a 5- year- old. 13:17 How many times have you gone to the doctor and they said something and you're like, I am too embarrassed to ask or I really don't understand that because 13:23 I m not a doctor. 13:24 But then you are scared to as a question. 13:26 but if you had AI, AI can be that translator. 13:29 We're speaking the same language but now I can break it down to your culture. 13:33 to your examples, to you age. 13:35 And so now if you're five, I'm speaking as a kid and my favorite example is if I take my discharge instructions and say, 13:44 it's usually a couple of papers, but I'd take that and I feed it into chat GPT or AI and it breaks it down to what are the core things that I am trying 13:52 to teach you. 13:52 But then here's the best part, if your five years old, I feed it into like a dolly or something that draws the pictures and now I can make a coloring book 14:02 and instead of giving you papers for the parents, I'm giving the child a color book. 14:06 And each page of the coloring books is a principle of their asthma. 14:10 Let's say it's asthma and teaching them about their disease. 14:13 And so now the five-year-old can color with the doctor, color the nurse, talk to the parents, and then they're going to start looking at the pictures and saying, 14:20 oh, I need to take my medicine. 14:21 Oh my gosh, when I start feeling short-winded, should tell my mom or dad. 14:25 So now I'm really giving health care. 14:28 These are just quick examples of how I can use AI today to make a huge difference for my patients. 14:36 That's great, Harvey, but now some people, and I'm not with them, you know, my mission as a host is to ask you all the questions that some of you might ask. 14:48 Now you are a doctor, right, so you'll know the context. 14:52 Now there are some voices that started to say, Hey, but sometimes chat GPT do the hallucination thing that we all know about. 15:00 Not only chat, GP, I mean the GP T model, the transformer model. 15:04 This is the way it was designed. 15:05 It can hallucinate. 15:07 So So I understood from you that, same as when every doctor would say, hey, use this medicine with prescription, so use Chan GPT with a prescription. 15:20 Are we talking about something similar here that it's better to be under the supervision of someone like a doctor like yourself or someone at least who 15:30 has knowledge in the topic? 15:34 Yes, a beautiful question. 15:35 And I'm glad you caught that. 15:37 I am happy we're going to discuss this because here's how I personally see this. 15:43 In order to be safe, we have HIPAA and in Europe, the GDPR. 15:47 We have laws to protect us. 15:49 Now, those laws are old. 15:51 They didn't anticipate CHAT-GPT or this technology of GPT. 15:55 And to your point, I am very worried about patients using this without doctors in the loop or healthcare professionals in loop. 16:05 In the United States, and at least everywhere in the world, I can teach doctors, but doctors ultimately have medicine. 16:12 They understand medicine, they have the knowledge, They can hopefully understand when it's hallucinating. 16:16 If I teach them the principles, then they can go looking at the different algorithms and say, yeah, this is good, This is bad, 16:23 And they know. 16:24 But the patients, they don't know medicine. 16:26 That's the reason they go to the doctor most of the time. 16:28 And if they think they know, They really don' t know as much as a doctor because they didn't go To med school and they Don't have all those years experience. 16:35 So I am personally worried about a patient walking up to a computer and it says, Oh, you have based on their symptoms, You have cancer or you Have this disease. 16:44 Then they walk to The pharmacy because outside the U.S. 16:47 You can go the pharmacy and just get Medications without a prescription. 16:50 And so I am very worried that we're going to start hearing cases of people dying, people hurt. 16:56 And, so what I'm saying for sure is we need to have the technology that makes sure that you have that health care professional. 17:03 That's why I m comfortable with telling my patients, hey, bring your computer. 17:06 If you questions, we can look at it together, see the output. 17:10 I will do you a favor. 17:11 if you're looking up information, then send me the information that CHAT GPT told you and then I'll go through it and I ll give my blessings or I l change 17:19 it or add it. 17:20 And so we have to be very careful. 17:22 The other thing I wanna say to people is we don't have this yet, but I want an equivalent of a food label. 17:28 So that way a patient or doctor can pick up Chachi BT or Claude or any of these models and say, okay, let me look at it. 17:35 It's like looking at a Food Label. 17:37 Here's the good. 17:37 Here is the bad. 17:39 here's why it hallucinates. 17:40 There's ways that you shouldn't use it. 17:42 A quick example is, the studies that was trained into chat GPT was obviously in the United States and its bias because the people programming it mostly 17:51 was in US. 17:52 Now, what makes this complicated is there's this thing called reinforced learning. 17:56 As the algorithm is pushed out, there are humans looking at it saying, yeah, this is good. 18:01 This is bad. 18:02 But in healthcare, they didn't have doctors giving the check mark up or down. 18:06 They literally had people in developing countries getting paid about a dollar an hour. 18:12 to look at it saying, yeah, that sounds good, check mark. 18:15 And so what we need as a society is we a GPT in healthcare that is used medical literature that doctors are reinforcing, 18:24 but not just any doctor. 18:26 I'm an ER doctor and I can reinforce ER stuff because I have 20 years experience and know ER. 18:31 But if you say, hey Harvey, do me a favor, I am a radiologist and want you to reinforce this model, I'm not a radiologist. 18:39 I mean, I can read x-rays, catskin, but I was not as good. 18:41 So I have no business there. 18:43 What I am saying is as a public service announcement, need to go out there and I try my best to teach patients the good, 18:49 the bad, and the ugly. 18:50 And I trying to do the same thing for the hospitals. 18:52 In fact, every time I meet with any hospital administrators, do you have a sign in your patient room all over the hospital and in the clinic that says, 19:00 hey, here are the warning signs of AI. 19:04 Do not use this without knowing the following. 19:06 because I want to make sure that patients understand this isn't so easy. 19:11 I joke around when I was in medical school, they called it Dr. 19:13 Google. 19:14 And I'm worried that GPT is so convincing that even some people that are experts are going to be confused or fooled about the output. 19:25 Now this brings another question that came to my mind, Harvey, is about now, We can educate people, I believe, about how they should use it. 19:38 You need to check with your doctor. 19:40 But some people also might get a little bit uncomfortable because if we are using a tool like ChatGPT, which is a public tool, 19:51 to your point that it has something there. 19:53 So some, and you mentioned HIPAA, you mention GDPR, Of course, we are not mentioning patient's name, but maybe someone will say, 20:01 hey, a lot of some private information is going there, right? 20:07 So you're describing maybe something, and they would say hey we know that they can know who we even if we don't mention our names. 20:16 And this doesn't only apply, by the way, from, I mean, like, Medicine only, sorry, medical perspective only. 20:26 It can apply also on the other stuff. 20:27 So maybe psychologists might be using child GPT as well. 20:32 Maybe pharmacists will be, people in pharma will use that. 20:38 How we can do this balance between keeping the privacy and adopting this beautiful technology? 20:45 Do you think like we need to build, you mentioned like healthcare needs its own GPT. 20:50 So are you, and I can see some of the, book covers behind you there. 20:55 So do we need specific or dedicated large language models for healthcare only that maybe it's used only by healthcare professionals? 21:05 Do you see this something that should happen? 21:09 And is there anyone who's doing something regarding it now? 21:13 Yeah, awesome question. 21:16 I'm a real big believer that we need to educate. 21:19 And some people, for example, will use ChatGPT in some parts of the world and look at the output and say, oh, I want to use this for my population. 21:30 But my argument is we really need a GPT for all parts We need not just one like ChatGPT that most of the world's using, we need to have our own GPT. 21:41 So I'm just going to make an example. 21:42 If you're in India, then we have to India GPt and then one that is using this is a little technical, it's called federated learning. 21:50 The country of India is obviously not the same. 21:54 There's different regions. 21:55 And so we need to create one for India, but then there have different models within India. 22:01 So that way they're teaching each other. 22:03 But then when they are using the model, it's only for that region of the country. 22:07 And, so, we'd need more equivalent. 22:10 Like this book here, Being Copilot LLM, my goal was to kind of explain all the ones that are out there, that we needed one in healthcare. 22:17 Now, you asked a great question. 22:19 Is there anybody out there? 22:20 Now I have no sock in these two companies, but I had read that the two that are actually there are several. 22:25 Let me start with simple ones to give you an example. 22:28 There's one called New York Tron. 22:29 They took all the unstructured data that I mentioned earlier about electronic medical record. 22:35 they put it together with all of the hospitals within their network and then what they did is they created predictive analytics. 22:42 So if you come to that hospital, they know the population, the problems, and then they they, know with the predictive analysis, 22:47 should this patient go home? 22:49 Should they stay? 22:50 And then, then have risk factors and they then know, with a better accuracy, if that person should go. 22:56 Other people that are doing that is Gator Tron in Florida. 22:58 They're doing something similar. 23:00 And now on the commercial side, there's a company called Glass Health, and what they're going is helping physicians and creating better differential diagnosis 23:09 so that me, as an ER doctor, let's pretend that it's two in the morning and I'm tired. 23:14 I can put in information into this model. 23:16 It would gather all the information and say, yeah, this is possibly the following diagnosis. 23:21 Then they are adding treatment plans so then I could look and see, oh, okay, here's some treatment plan. 23:25 And so that's a nice way of using AI. 23:28 But the thing is they're going topic by topic. 23:31 And within time, they'll have mapped out most of medicine, and they are getting reimbursed learning from doctors. 23:39 The other one that is out there is called Hippocratic AI, They haven't really released very many details, but from what I understand, 23:50 it's gonna be another AI for healthcare and it is supposed to be used in the hospital system. 23:54 They claim that their algorithm is better than ChatGPT, But they haven´t released anything that we can see. 24:00 From what i know, when the company started, they got 50 million dollars invested to them. 24:05 So they're doing well. 24:07 I'm a little jealous because I want to create my own LLM, and I would love to get some investors to help me create some of the products that I wanna create 24:15 for health care. 24:17 Hopefully, some investments will be listening to the show today, Harvey. 24:22 Now, I wanted to now look at, before we jump to something else, let's stay a bit within the AI space. 24:31 I know that no one has a crystal ball or something like this, but of course, you know, Technology is moving very, very fast. 24:40 Now, if you would try to guess what could be the next big thing that would be specifically an application of AI in health care. 24:53 One of the things, I brought it with multiple guests with me, Dr. 24:57 Kasha, she was with us last year, we talked about it. 25:03 We talked also with Nadia Riponova from Real World Data and all this. 25:09 We were trying to figure out if in the future we could have really the AI, call it generative AI. 25:19 Call it whatever you want. 25:21 Whatever name you would give it. 25:23 that can help actually, and I know you're passionate about helping people, Harvey. 25:26 So we're thinking about these people in not so much developed area in the world that they don't have proper access to health care. 25:37 Can AI fill the gap I'm not sure if AI would be able to do, you are an ER doctor, so I am not if it will reach that stage, 25:49 but at least to the basic thing that anyone living there would need from a basic healthcare. 25:57 Do you think this is something feasible in the future? 26:01 No, this an awesome question, another one. 26:03 So I go, not to brag, I literally go around the world giving a talk, and part of my talk I say the following. 26:10 we're going to start seeing certain parts of the world that are developing countries using chat GPT or an AI in ways that the United States will not use. 26:22 And I don't mean it in a derogatory way that they're doing it wrong. 26:26 I'm just going say they are going think outside the box because Risk versus benefits is different. 26:33 If I'm the president of a country that is developing and I know my population is literally dying and they don't have access to healthcare, 26:43 then I personally would say, you know what? 26:46 The necessary evil is we need to use something and that something will be AI. 26:52 And I, personally, think we're going to start seeing examples of some parts of the world literally using, everyone's heard of Elon Musk, 27:01 he has satellites that basically you can use anywhere in the world because they're satellite internet. 27:07 And I see these developing countries reaching out to someone like Elon musk, like let us have access for free. 27:13 Then people in certain regions that do not have internet, that did not access to healthcare, being able to use the internet but then they are going to 27:22 have AI And they're literally going to have I foresee like these trucks with generators and having computers where the local population will come in and say, 27:32 OK, I have this disease. 27:34 What could it be? 27:35 And then they'll have probably like a person that may be a doctor or not there to help supervise. 27:40 But they are going that's going be their health care. 27:42 That's gonna be there. 27:43 Doctor, that is going there, hey, this is probably what's wrong. 27:46 And the government will give them medication and try to health. 27:49 I really see that happening. 27:52 And so some people are like, oh Harvey, you're crazy. 27:53 I'm like no, think about it. 27:55 There's fun parts of the world that don't have access. 27:58 i call it the healthcare IQ. 28:01 If I got a cigarette right now and I started smoking, You guys would be like what's wrong with this guy? 28:05 He's smoking. 28:06 Like doesn't he know that that's bad for him? 28:09 But we all know, that smoking is bad. 28:11 But right know I may be eating something, I might be doing something in my life that can kill me, but I don' know. 28:17 That. 28:17 but i really think that AI is going to teach us at healthcare education, and that if our level is this, with time, it's only gonna elevate. 28:27 And as that healthcare, education elevates, I'm gonna start doing things different. 28:31 It may be food, maybe eating differently. 28:34 I may change my habits. 28:35 There may something that says I need to sleep at least seven hours or more to live longer. 28:40 So then maybe I'll start sleeping more. 28:43 All these things with times, my quality of life will improve. 28:47 And I think with time, I will live longer. 28:50 And so I really think that AI is going to do those things. 28:53 AI's going help elevate our education, elevate, our understanding of healthcare. 28:58 and it's gonna start teaching us to a point that we're learning so fast. 29:01 A lot of people really don't know, but last year, Scientific America announced that ChatGPT's IQ was equivalent to 155. What does that mean? 29:12 The average population in the world IQ is between 90 and 110. That means that this is higher than the average IQ of a human being. 29:22 To put it in reference, Albert Einstein and Elon Musk are all above 155. around 160 to 170. So think about it. 29:31 It's almost getting there. 29:32 And so every year, if this chat GPT's IQ is getting better and better, it's going to get to the point where no human being will know if the output of the 29:42 GPTs is correct or not, because it is going be so advanced. 29:47 Yeah. 29:47 And this could be also scary to your part, but yeah, like sometimes I like, you know, when you mentioned, we know that it's evil. 29:57 Of course, it is not totally evil, in the sense that, that might give us wrong information and so on, But we have no other choice. 30:04 So absolutely. 30:06 Now, another thing, and I know you are almost talking about it every day, which is the Apple Vision Pro. 30:18 And I know you are very excited about its applications to the healthcare. 30:23 So tell me, and I don't like you also have the book. 30:29 Let's talk about Apple vision pro. 30:34 How excited are you about that? 30:37 Again, where are you seeing the direct benefits, the low-hanging fruits to your point when we talked about AI, in terms of both patient care and training 30:50 physicians also as well? 30:51 Okay, awesome question. 30:52 So I'm going to pull up this prompt. 30:55 These are meta glasses. 30:57 When I go outside, they turn dark like sunglasses. 31:00 when I put them on, it turns on and in the back I can hear what chat GPT and I have a conversation with chat gpt and i can take a picture of you right 31:11 now and then with that button or I could tell it hey meta. 31:13 take a picture and it'll take the picture. 31:15 But the cool part of this is that if I'm looking at a patient and say I am looking a skin disease, I could take I can take picture, 31:23 and when it takes a pictures, it could tell me exactly what is going on. 31:28 And it can analyze the pictures. 31:29 Now I will take this off because I have the volume up high. 31:32 I just wanted to show you that as a doctor, what can you do with that? 31:36 And so I can analyze pictures. 31:39 If you have a family doctor and you're in the emergency room, I could stream it to your family practice doctor. 31:44 These are all possibilities. 31:45 Now I have my Apple Vision Pro right here. 31:47 And obviously you know what this looks like and what can it do. 31:51 I've modified it.I have 3D printer and I put another one of these to really give me a nice fit. 31:57 So how do I see this thing working? 31:58 Well, again I'm going to give you an example from an emergency point of view because I am an ER doctor If you're in the emergency room and when seconds count, 32:10 How nice would it be that if I have these on and I'm taking care of you, I can see through it and see you. 32:16 But then as your labs are coming in, can I see part of my vision that it has your lab? 32:22 If I need your x-ray, the x ray is right there. 32:25 If i have to do a procedure and i go very carefully into you then if i had the X-Ray or CAT scan there, i can find that lesion because i know where it 32:34 is and have it in real time. 32:36 Let's pretend you speak another language. 32:39 Then in theory, I can speak through the Vision Pro, listen through Vision pro, but then it'll translate in real time and now I communicate with you. 32:47 Other things is I mirror this thing. 32:49 So if I have it on and we have a TV in the room, everything I see can be mirrored on the TV so you can see it. 32:57 And so really quickly I take care of you and when seconds count I use this device. 33:02 Now, other ways, I'm not a neurosurgeon, but believe it or not, this is being used in neurosurgery. 33:09 And so they're doing something similar. 33:10 As they are doing surgery, they were able to see the CAT scan, the ailment, and the tumor. 33:16 I mean, imagine that. 33:17 Imagine how fast I can help you or how that's going to change it. 33:21 The other thing is my eyes. 33:23 Luckily I had Lasix. 33:26 If I put that on, I can zoom into a lesion and really explore it and look at it. 33:31 So now I really find the nice details of that lesions in your body or I see it in real time on the skin and I blow it up and see things that I may not 33:39 be able to see with my eyes. 33:41 And so now really quickly I'm able help. 33:44 The other part to this is just education. 33:46 Imagine putting these on and if I'm seeing things and say you're in the Middle East, you have one over there and as I've seen things, 33:54 I can stream it to you and I explain and teach you. 33:57 I could almost teach medicine in your other parts of the world. 34:01 And so if i'm seen a rare case of let's pretend it's some syndrome that only like 10 people in world have, now I show you in real time and you can ask questions. 34:11 And so in the educational world, I can have digital twins. 34:15 I have all these things that I create to educate you. 34:19 So imagine going to med school now. 34:21 How much more fun? 34:22 How quicker I could teach you? 34:27 It's like, you know, everyone when they saw in general the Apple vision pro they said like it's they felt they are they you become like Iron Man with Jarvis, 34:37 right? 34:38 So it, it kind of that moment. 34:42 But do you think? 34:44 Okay, so how how easy is it to adopt something like Apple Vision Pro or any extended reality if we want to compare it with AI? 34:54 Because I believe here, maybe there will be less friction from compliance perspective and all the other things that we mentioned about AI. 35:04 Are you seeing signs that, yeah, this is something that health care will just take it like this? 35:11 Or it's going to be slower? 35:14 What could be the obstacles that the industry, the health care would face to adopt it on a larger scale? 35:23 Yeah, awesome question. 35:25 You know, I'm going to put my administrative hat and not the doctor hat. 35:30 At the end of the day, unfortunately, or fortunately, depending what side you're on, the healthcare hospital that's going to buy these devices are going 35:38 look at the cost and how much money is it saving and bringing into the hospital. 35:43 And so I think the first adopters in healthcare will be the departments that have a lot of money, i.e. 35:48 your neurosurgeons, your surgery departments, because they have so much coming in that the hospitals say, you know what, 35:54 we will buy this devices. 35:56 In other parts of healthcare where if they can't justify that this is saving money or that it's gonna make more money for them, 36:03 they're not gonna put the money there first. 36:05 They're gonna it in places where they get more. 36:07 So that's going to be an issue in healthcare. 36:09 Obviously, this $3,500 toy. 36:12 If this thing falls and breaks, that a lot of money to break. 36:16 And so depending on the work environment, They may not put it that work. 36:21 But here's the beauty. 36:22 I think, for example, everybody's heard of Epic. 36:25 It's an electronic medical record. 36:27 They already have an app of that example that I gave, and they're testing it. 36:31 And from what I hear, different hospitals are going to start using it as a testing. 36:39 Imagine doctors like me that say, you know what? 36:42 I'll spend the money. 36:43 I want to do this. 36:45 This is great. 36:45 And I think we're going to start seeing some early adopter physicians, patients using this and inventing things. 36:53 When I say I am working on Apple Vision Pro myself, I'm hoping to have a prototype out on the market next week. 37:00 It's done and I will submit it. 37:03 My goal is to keep creating more apps. 37:06 that I can put it out there. 37:07 And so to show a combination of AI with the Apple Vision Pro, because I really believe that when you combine those two worlds and you create a product, 37:15 you're going to have something that's leveraging AI, but then you are leveraging this new technology. 37:20 So I'm really stoked about how we're gonna change medicine, how are we gonna do things in the world, and how will we change the workflows around the word. 37:27 I see that coming. 37:29 I see that coming, I mean, not only in healthcare because, of course, the form of AI, it's text to speech, speech to text, 37:39 combined with the extended reality that the Apple Vision Pro can give. 37:45 Now, out of curiosity, Harvey, because I know you've been using it for quite some time, one of the things that I've read from people I know directly or 37:55 indirectly and what I read on the internet from the reviews, and not only about the Apple Vision Pro, it can be applied to any device similar to it. 38:04 And I'm asking you from a little bit kind of a medical perspective. 38:08 Some people, they said, putting it for long times, It might let you lose the feeling of the reality and then you start to mix things together. 38:21 Like have you faced something similar? 38:24 And the reason I'm asking you, because now back to using it in the ER room and you are under pressure or maybe even for just a normal diagnostics or something 38:35 like that. 38:36 So if I put it for a long time, you know, First of all, is there any proof for that? 38:42 I think it's still too early to judge. 38:44 But I mean, how do you think like this can affect also the adoption for for them? 38:50 Have you figured I faced it yourself putting it for a long time and feeling weird after you remove them. 38:58 That's so funny. 38:59 No, no, I love the question. 39:00 Very good question, actually. 39:01 I have studied this. 39:03 So there are some early studies that say prolonged use is not good, that it can alter your reality because it's that good. 39:16 I made this funny mistake and I was all embarrassed to share it. 39:20 I love doing Zoom and watching Zoom with this thing on because I can make my TV screen a hundred inches big and then I could have a couple windows open 39:29 and and i can do it there was this one slide I watching And I was so into the conversation or into this presentation that I got my phone while I had my 39:39 vision pro and I'm starting to take pictures. 39:41 And then I look at the picture and it's a picture of the wall and thought, oh my God, I can't believe I did that. 39:45 I took a pic of. 39:47 Of the while thinking I. 39:48 Was taking a. 39:48 Picture of this slide and. 39:50 Wow, must be really into. 39:54 Now some of the studies that is kind of scary, your depth perception, how far things are, gets altered. 40:03 And there's this one study that says if you're driving, if your doing something mechanical, you are going to be off a little bit because your perception 40:11 your brain literally starts adapting to this other world. 40:14 And then in my mind, I thought, oh my God, this is kind of bad, because if that is truly the case, it may be years. 40:19 But in the future, they may say, when was the last time you use your Apple Pro? 40:23 You got into a car wreck. 40:25 You're going to be fine because you were on the Apple Vision Pro in your perception and you should not do that. 40:30 And I really think it'll be like texting and driving. 40:32 It'll like no VR for X amount of time before you drive. 40:36 I know people are like, Oh, that's crazy. 40:37 No, no, really, think that it's going be a thing. 40:40 To answer your question, obviously, everybody's anatomy is different. 40:44 Everybody's muscle is difference. 40:47 I'm going to say and joke with you, I have a big head. 40:50 And so when I put the Apple Vision Pro, the weight, it doesn't bother me because I really think my anatomy's big. 40:55 So it does not feel bad. 40:57 The other thing is I showed you this 3D printer. 41:01 I should pick another color, but I printed these things and I added two, so now I have one way of wearing it, that is putting weight up here and here, 41:10 and it's distributing it better. 41:11 So that way, if I wear it for long hours, it doesn't bother me at all. 41:15 But to be honest, I was doing fine without the second strap. 41:18 And now when I put it on those, feel very secure that if jolt or move or long period of time, really don't feel it. 41:26 Hopefully that answers your question. 41:29 Yeah, absolutely. 41:32 And I'm curious because I didn't put my hands on it yet. 41:34 So I am trying to get some insights from different people. 41:38 But of course, for this specific use, it's really something amazing. 41:46 Now, because we're talking about trends, we talk about insights and what might come in the future. 41:52 Some people, they said, okay, it's an amazing, astonishing technology device, but it is bulky. 41:59 Do you think that in future we might be able to do the same? 42:09 that Apple Vision Pro or any other similar device does today, but into a small factor way, maybe. 42:19 Or would we reach a phase, and again, we're going to, Elon Musk is going become famous on my show for some reason or other. 42:30 So talk about if you're a link and all the stuff that he's doing. 42:34 I'm trying to understand, would it be possible in the future to bring that into the form of the really the glass or maybe lens. 42:44 Yes. 42:45 What do you think? 42:46 Where do think we are heading in that space? 42:49 Yes. 42:50 Again, I'm not trying to ask for money, but I am kind of asking for. 42:53 Someone's listening. 42:55 I have the technology to convert this where we can put the output right here on the glass. 43:03 And I want as a prototype, haven't done it yet. 43:10 mechanism that's here combining with AI and to create classes that will have the information on here, but then would leverage the best of both worlds. 43:20 So that way it could be an everyday. 43:21 And I honestly think there are several companies that are already working on that, We need somebody that's inside to really know I feel like I understand technology, 43:32 I can bring health care together. 43:34 I'm a futurist in a way and you put those three together and create a product. 43:39 Either I create or someone else but this will be created and I really do see a future where just like having a mobile phone everybody will have a pair 43:46 of glasses that have that technology. 43:49 Imagine the power of being able to speak to AI in real time and get that information in your ear and say you're in a speech or right now you are asking 43:56 me a question and saying I don't know. 43:58 Being able have the glasses go through it, tell it and then tell me in my ear then I can tell you. 44:02 I mean there's so many things and so I really think the future will be glasses like you just mentioned. 44:08 That will happen and there are some prototypes out there like that. 44:12 Yeah, absolutely. 44:13 This is what I was to say, that we start to see signs of attempts to create devices that can integrate the AI with our senses, 44:22 I would say all of them. 44:24 Now, Harvey, as we almost come to an end, and this is a question I like to ask all my guests, if you want to leave the audience today with like a piece 44:36 of advice, especially if they are in the healthcare, you know, if there are doctors, maybe, or maybe someone who is on the verge to take a leap, 44:46 they aren't in health care, and they want to become entrepreneurs, like final thoughts from your side. 44:52 And then if you can also mention where people can get to know more about you. 44:59 Awesome. 45:00 So I want to say two things with the closing. 45:04 Number one, if you want be an entrepreneur, look at it. 45:09 I'll give you some advice. 45:10 One is work backwards. 45:12 What is it you wanna fix? 45:13 And then go back and see how can you get there. 45:15 So have an end in mind. 45:18 The other is you have to have, to be passionate about something. 45:22 Find a passion, something that you do, Something that, you know, ideally. 45:25 If you're in healthcare, then stick to healthcare. 45:27 But then find some pain point that You're so passionate, about that. 45:30 You are like, You know what? 45:32 This isn't work. 45:33 This doesn't feel like something bad. 45:35 Like, I'm so passionate. 45:36 I want to fix it. 45:37 Because that's gonna drive you when you don't Feel like working. 45:39 That's going to push you to think outside the box. 45:42 Now, the second thing I wanted to say, this is nothing related to entrepreneurship, but we tend to be type A personalities. 45:52 We tend, I don't want to neglect our families or neglect loved ones, But I'm going to today, every day of your life, try to live it as if it's your last. 46:01 let's just pretend you were gonna die today. 46:03 And every day, make sure you call your loved ones, you hug your family, tell them you love them, You make peace with your enemies because you wanna make 46:11 that every you take time for yourself. 46:13 For me, I try my best to go on walks, see the sunset. 46:17 I tried to give my wife and kids hugs every because we just don't know. 46:22 So I wanna end it, part of it today with saying, hey, live today to the max, enjoy life, but also balance it. 46:29 Then the last part, as far as finding me, my social media is right here. 46:34 It says Harvey Castro MD, and I'm on all the social medias. 46:37 I joke and say I am always on LinkedIn. 46:40 On Amazon, you'll find my books. 46:42 Just go on Amazon.com and type in HarveyCastro and here's the AppleVision Pro. 46:47 And then more importantly, if I can be a resource, I've been a consultant for hospital systems and different startups around the world. 46:59 Thank you very much, Harvey. 47:01 I will make sure, first of all, the links are in the show notes so people can find them very easily. 47:07 Second, I really want to thank you for, you know, your time first, especially, know I appreciate doctors times, because doctors always busy giving care 47:18 to their patients. 47:19 So really, appreciate that taking the time to speak to me today. 47:23 And of course, for the wonderful and very insightful Ideas that you gave us and the insights you give us. 47:31 I really appreciate that Harvey and usually this is how I had my my podcast show So this for the audience if you just discovered this episode by luck or chance. 47:41 Thank you for passing by I hope you enjoyed it Please do me a favor subscribe and tell your friends and colleagues about it We are available on all podcasting 47:52 platform wherever on YouTube and if your one of the loyal fans that keep coming. 47:57 Thank you very much for all your support. 48:00 Just a reminder, I just started also having a one-to-one calls. 48:06 You can find them on my LinkedIn. 48:08 you can just click and then poke time with me. 48:12 Again, thank you, very, much, for tuning in. 48:14 We will be again in a new episode very soon. 48:21 button. 48:22 Share the show with your tech savvy friends and fellow entrepreneurs and leave us a review on your favorite podcast app. 48:29 Your support means the world to us.
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