EP 47: The Future of AI in Healthcare

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Your career, business and everyday life. Could AI be your doctor one day? I know it's a crazy question, but we have to talk about it. It's something that we're going to talk about today on Everyday AI. This is your daily live stream, podcast and free newsletter where we help everyday people like you and me not just understand AI, but how we can actually use it. So before we get into the role of AI in healthcare and we have a great one, we actually have the author of the of the doctor, the doctor who wrote the book on ChatGPT and healthcare, literally. So before we get there though, I want to run down some of the biggest things that are going on in the news world today. We do this every single day, weekdays, Monday through Friday. So if you are joining joining us live, please go ahead and drop a comment like this LinkedIn user that said, wow. So let's get to it. A couple big news pieces today. So first, a new CNBC story says that the AI boom that's happening right now is actually the fourth industrial revolution playing out. At least that's a quote from an executive from Wedbush Securities. So make sure to read more about that in the newsletter today. A couple other cool healthcare related stories. So 1 Gleamer is a healthcare tech company. They just raised $30 million to bring more AI and radiology products and services to the market. Super exciting. Speaking of tools and software, you've probably seen or heard these AI detection tools. So we're going to be sharing in our newsletter today a link to a story that talks about how easy is it to fool these AI detection tools. That's from the New York Times, so make sure to check that out. And last but not least, and you know, kind of a good transition into our show today, big news story. So this is the first AI generated drug has entered human clinical trials. So I'm not going to give you the name of the drug because it's a bunch of letters and numbers, but it has entered phase 2 clinical trials targeting chronic lung disease patients. So we're going to have all of that and a lot more in our daily newsletter. So make sure you go to your everydayai.com, sign up for that free newsletter. We're going to have a lot more. But right now I'm extremely excited to bring on someone that I've been following in the kind of AI and ChatGPT space. So let's Bring on our guest for today. So we have, welcome. We have Dr. Harvey Castro, the author of ChatGPT and Healthcare. Dr. Harvey Castro, how are we doing?

Awesome. Thanks for having me. This is exciting. I've been wanting to do this for a while now.

Absolutely. So I can't wait to talk about a whole variety of things. But as a reminder, this is for everyone out there. You know, every, like everyday AI is for everyday people. So if you do have a question for Dr. Harvey Castro, please leave it and we'll get to it. If you're listening later on the podcast, you missed out to get all your questions answered. So we do have quite a few people already with questions. But I have a question for you first, Dr. Dr. Harvey. So I, I started the show with maybe a little bit of a sensationalized statement, but is that too far off? Might we have doctors or a system one day that is just primarily AI? Is that a thing?

You know, I, I, I pause for a second and hesitate to answer because my gut says no. But technology is changing so fast and with robots that I'm seeing and with things that are coming, it's starting to make me think twice that, well, maybe I'd have to concede here and say I do see a robot in our future where it is going to be a resident equivalent, where it'll be my assistant. I don't want to replace myself yet, so I'm going to say not yet.

Yeah, I think you come from obviously a very unique position. So you obviously have a background as a practicing physician, as more of an executive role in healthcare systems. But also you are literally pushing the education around this technology with AI and healthcare, ChatGPT and healthcare. So I guess how do you like, where do you lean on it though?

Yeah. Let me kind of explain my rationale. So OpenAI and I'm really bad with names, so forgive me. They have a robot that's coming out by the end of the year and it will have what's called tactile function. So it will be able to sense and give information back. Well, just extrapolate here a couple of things. If you have the equivalent of, I call it ChatGPT 5 where it can see and take video and pictures or 4 has it, but we just haven't been able to use it due to GPUs out there in the world. But just play with me for a sec. So we have this fake robot, let's put a white coat on them and say it's able to see. And now with the tectile it can feel the patient's belly. And for example, it'll say, oh wait, this is right upper quadrant. It's probably the gallbladder. It sends that feedback, looks at the differential and says, okay, it's probably this. I'm gonna go a little extra here with the eyes. In the eyes, there's already technology that the video camera can actually give my age, my hemoglobin A1C, which is the last three months of my sugar. It can give my blood pressure and it could give about five or six different parameters just with the camera. So I'm thinking, man, you put that camera on this robot, dude, you got like a lot of information. You have your triage nurse, you have your resident, and it's all being packaged due to the hallucination effect. I don't think it'll be chatgpt, it'll be another biogpt out there. That or I say biogpt, another GPT that's healthcare related. And that's why I hesitated so much because I'm like in my mind thinking, well, you put all these pieces together, you would have something very close.

Yeah, that's, that's a good point. So we are, we're obviously already starting at the end, which I love, but let's, let's, let's hit rewind and, and let's kind of remind people just, just of your background because it's extensive. Right. I think people might hear us talking and say, oh, this, this GPT or AI thing is brand new. You know, who are these guys to be talking about it? But you have a huge in depth background in technology and in the healthcare field. So just give everyone a brief overview of your background.

Yeah, I'm blessed in that I wear two hats. I'm an ER doctor by training, so I've done it for over 20 years. I know my ER stuff per se, but simultaneously, I'm an entrepreneur. I've had over 30 iPhone apps. I'm into the technology world. I've actually wrote my first app, which was IV meds, and I spent a lot of time looking at technology and merging it with healthcare. As an entrepreneur, I joke. I feel like I live in the clouds. I live in dreaming and I always think of things. And I love merging the two languages, let's say the language of medicine and the language of artificial intelligence for today's conversation. And so that's kind of my background. And, and, and just really quickly, back in November, I was playing with ChatGPT and I was blown away and I was like, oh, My gosh. I had that iPhone moment. I'm like, this is going to be the next iPhone, but better. I was like, let me write a book real quick and like, explain how it works and tell our teachers and doctors and patients. And I was just so stoked. I was like, okay, I got to tell people. So that's my background.

Yeah, yeah. And if you're not watching live, I do have Dr. Harvey's book on the screen here. So he literally wrote the book on chat GPT and healthcare unlocking the potential of patient empowerment. What was that process like? And what was the reception as well in the medical community?

Well, it's kind of funny. Obviously medicine's really conservative and I'm here pushing the envelope and telling patients, hey, use doctor, doctor Google, but let's use chat GPT and tell your doctor we're going to use it together. And I know doctors were upset with me. It's really tough to write this book. You know, when I wrote the first edition and this was, mind you, January 5th, and here we are like six months later, I'm already talking about several books out. This technology changes so fast. But the skinny is this. I see life as a bell curve. We have people in one extreme that know their stuff really well. And when I wrote it, they're like, haha, this isn't, this is just scratching the surface. And in my mind I'm like, it's actually not meant totally for you. It's more meant for people that don't understand this technology, haven't thought of all the possibilities. So I'm just kind of presenting it to them. At the first two people were like excluded, including my wife and close friends were like, chat GPT. Who? What are you talking about? Like, I have no idea. And I was, and I was talking to my doctor friends and I'm like, hey, the last thing you want is a patient to show up with some papers saying this is GPT and you don't even know what this is and what the good, the bad, the ugly is. And so when I made that statement, I was like, you know what, maybe I should start teaching people the good, the bad and the ugly as far as doctors and patients.

Yeah, absolutely. And you bring up something that I wanted to talk about. Did you say Dr. Google? Right? Is that, is that a saying in the medical community? Right. So I, I like, I think when people talk about AI in healthcare, they think, oh no, absolutely not. You need to trust the doctor's knowledge. But at least when I go to see the doctor, so many Times they're just googling something, right? So I say, I say, like, what's the difference? So do you think that people, like, in the medical community, in the healthcare profession, are people for some reason biased against AI or are they scared of it, even though it is kind of just a ten times more powerful Google?

So I'm gonna hesitate one more time. I think, again, it's a bell curve. I think we have our newer generation doctors that are like, let's go with technology. I got it, let's see it. But then we have our conservative older doctors that honestly, some of them can't type. And I'm not disrespecting them in any way. They just didn't grow up with the typewriter and typing. And so typing literally have two fingers going. Or they ask for an assistant to type for them. And so we have two different populations. The key that I'm trying to teach my fellow doctors and patients is there's a balance. I don't think AI is at the point where it could just take over my job, because honestly, it's called the art of medicine because it's a true art. And AI can only look at the facts, but it also hallucinates and makes some mistakes. And in this world of healthcare, it's not like you bought a bad stock because AI told you to. Hey, maybe someone died or maybe some bad effect happened. So healthcare is a little different in that lives are huge and we can't make those decisions without a human as of today. And so that's kind of my soapbox on that one.

Yeah. So you ended it. And I'm gonna, I'm gonna poke and prod a little here because I'm interesting. You ended it with a caveat of, as of today. Right. Is that, is that going to change? Right. Do you see as an example in the future, you know, kind of how the transportation industry, as an example, is switching over to everything more autonomous? Will, will it ever get like that in healthcare where the majority of decisions are maybe made by AI and then it's just more of a, A doctor, a physician checking everything on the back end.

You know, honestly, I, I think we're headed that way. It's. I again, I, I third hesitation here is the art of medicine is a true art. And there's many times in residency that my res. My, my fellow resident or my doctor, colleagues, mentors would tell me, hey, Harvey, sometimes, Doctor, sometimes the facts in front of you tell you one thing, but you need to step back and look at all the facts and Become a doctor in the sense that you're making that decision. And so using that principle, AI may collect all the data, may look at everything, may point me and may bias me down a wrong road. But my experience, my gestalt, my, my looking at it from 10,000ft high, putting all the factors together because there's also things like, like small cues, like if I look at you, at the way you talk, your mannerisms, your tone, yes, AI can catch all those things, but you put it all together, that's so many factors that is hard to train a model. So my point is I think it's going to take more than just having a doctor, having a robot gather all that information. I think it's going to truly take a doctor to do it. But here's the beauty of all this craziness. I really think there's going to be some AI bias in that. I've, I worried that my younger, I'm going to call myself an old man here. My younger doctor friends, they're not going to have that gestalt because they're so used to using AI and artificial intelligence and other tools that they're going to over rely on automation, over rely on technology. And I really worry about those doctors because if they don't do both, they're going to do many mistakes because they just won't have the experience.

No, that makes perfect sense. Do you have a comment or two wanted to bring up here? So Ryan Martin says, great book, Read it twice. Ryan, thanks for listening. Professor. Dr. Muhammad is saying ChatGPT is now binding professionals too. Absolutely. I do want to follow up something that you said, but also look again, look forward because I'm always, I'm always trying to look forward, but what areas of healthcare, you know, if we just talk about GPT, Right, because AI has been around in medicine and in healthcare for decades. Right. But if we're just talking about GPT, chat, GPT and what can be built around those, around this technology, what areas of medicine or healthcare do you see the GPT technology being most disruptive? Whether it's for a bad, a bad thing in terms of, you know, jobs and careers and professions, or for a good thing in terms of, you know, creating more possibilities and more capabilities for the health care system? Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on gen AI. Hey, this is Jordan Wilson, host of this very podcast companies like Adobe, Microsoft and Nvidia have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen AI. So whether you're looking for ChatGPT training for thousands or just need help building your front end AI strategy, you can partner with us too. Just like some of the biggest companies in the world do. Go to your everydayai.com partner to get in contact with our team or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on Gen AI.

I love your question because I could have answered it different had you worded it differently. So let me go with GPT. Since you stressed on GPT technology, I think one of the biggest problems is actually communication. You could apply that to marriage, you can apply that to life, just communication. One of the biggest problems with doctors and pain points is not being able to speak their language. Meaning as a doctor you're taking all this medical jumbo stuff, but then to be a really good person to educate, you need to break it down to a five year old. And if you can break it down to that level, then I think you know your stuff really well. But better you can converse with that person. So bringing it to ChatGPT or why not just let's change discharge instructions. Let's just take that one part. Let's just go into the discharge instructions and say okay, I have a 50 year old is way different how I talk to a male versus a female versus a five year old. Not that I'm being sexist, it's just that there are certain things in their health care that is a factor that you would talk to them differently. Taking it to another level, there's different cultures. I grew up in New York City so I'm very sensitive to different cultures around the world and I grew up with them and I went to my friend's parents house and then we would eat and do customs and I remember doing mistakes in their house and be like no, no we don't that in our culture. I was like oh wow, I didn't know. And so my point is why not use the power of a GPT to help me create those examples. So I'm talking to the patient, I'm being respectful of their culture, I'm being mindful of how, but let me give it to you real quick, another quick example how that would apply. I usually talk about this example, but the skinny is this. Have a 5 year old pediatric asthma, first time kids scared. I help them out, give the parents discharge instructions. That's how it's done today. This one hospital did the following. They took the discharge instructions, put it into GPT and say, hey, I'm talking to a five year old. Convert this into a coloring book. Then they took a dolly equivalent, they made the pictures, they put it all together and said, here son, here's a discharge instruction, but it's a coloring book. Now that child can go through with the parents, with the doctor, the nurse, whoever, but it can actually look at it and be like, oh, this is why I need to take my meds. Oh, this is why I need to check my blood, blah, blah, blah. I mean it really takes it to another level and then you can go over and over and I'm like, like that is the future of healthcare. And I feel that that's the way it's going to go, at least for that one example.

Wow, that example really hits home for me because I had my first asthma attack as a five year old. So, you know, I don't, I don't remember a lot, but I remember being scared and confused and I can only imagine the, how much better I would have felt or how much more comforted if my discharge instructions were a coloring book. Treating like teaching me about how to treat this. So even with that, a great follow up and we have some great questions, I'm going to get to them. So thank you, thank you guys for your patience. But on that, I think one of the knocks is on, on GPT or AI is that it's not empathetic.

Yeah.

And you just, and you just gave a great example of how you can use this technology to create empathy. And everyone thinks it's just like, no, it's, it's robotic, it's not empathetic. And then obviously there's the very famous study now about chat GPT versus doctors in terms of bedside manner. And chatgpt was actually rated higher in terms of empathy. So how do you see the GPT technology improving empathy? Or is it or might it not?

No, I definitely think it will. Let me give you an example. I already think it'd be great use for medical students and doctors and hospitals that, you know, at one point I had over 50 doctors that were under me that I had to manage. And I realized at one point I'm not going to be disrespectful, but I felt like I was a high school principal telling doctors. I'm like, are you kidding? Why'd you do this? Or X or Y? And so my point is this. If I could use the power of a GPT to teach empathy, to create modules, to have them interact and make up fake cases where they would the GPT or the ChatGPT will give them corrections on, yeah, this is how you do things. This is what you do. Because honestly, again, I know knock on some of my fellow colleagues. They're so smart and they're so into their one part of medicine that they forget the. Sometimes some of them have really bad bedside manners. And I think if we AI can put it together with a human and teach and I, and I see a future where we have a laptop or our iPhone. I know doctors are going to hate me again for saying this, but we sit down with our patients and we have that laptop, we have the patient and we have the topic and we're like, let's do this together. Let's put it into a GPT equivalent. Let's see what it says, let's see what I think give you my medical expertise and let's put it together. I don't think it's one or the other. I think it's both.

Yeah. Actually, now's a great time for, for, for this question from Yaddy Yeti. Thank you for the question because this perfect, perfectly plays into what we were just talking about. So she's asking how is HIPAA impacted if and when users input into the shared chat GPT servers? That's a great question because I think that's, that's one of the biggest hesitations I think, with GPT in general, not just in health care, is privacy and security concerns. So how do you handle that one?

Yeah, so great questions. Probably one of the top 10 questions. And here in the United States, it's hip and outside. I'm really bad with Europe's privacy laws, but it's equivalent. They have it. So it's everywhere is what I'm getting at. And so how to get, how to do this is as follows, in my opinion, number one, I would never put any personal information into ChatGPT. I would keep it very generic, make sure you're not using your address, things like that. Obviously, chat GPT has your IP address, so in theory they already know who you are. But for privacy area, they've added in their settings a way that you're not training the model. So go into your settings Especially if you're paying for chat GPT4 and go in there and just take off that you're not training the model. That would be one way. Second, again, I'm going to reinforce, do not put your information in there, just put other stuff. And how doctors are getting around it is they're putting the nuts, nuts and bolts of the information of the patient, of what you're just coming in with. So diabetic, or in your case, pediatric asthma. But they're not saying you're a five year old. If they do say you're a five year old, they're not saying your name and your social and other identifiers. So that'd be one way.

Yeah, great, great question. Yaddy. Fantastic response. Obviously, Dr. Harvey, but I have a question because, you know, we mentioned the security piece or the security concerns data, all of that with ChatGPT. How long do you think until a lot of big healthcare companies figure it out? Or maybe, maybe they have, I don't know about just having their own large language models so they can tap into the power of GPT but keep everything private and then also train it, you know, on their own, you know, region or their own policies, I guess. Why haven't we seen that yet? Or is that just the next big innovation in terms of healthcare so you can tap into it but still keep everything private and secure?

Yeah, perfect question. So number one, there are technologies out there that are looking at scrubbing the data so that before it goes to OpenAI, for example, it would be scrubbed and so that would never happen. Two, they are looking at models of what you just said. Create your own. LLM New York, nyu, I'm from New York City, has created. They're looking at a database and creating their own. And that's, I think, the future. I think that's what people are going to do. There's two things I know a lot of people don't know this, but with Chat GPT, what makes it powerful is the human reinforced force learning. My angle is instead of saying it human, let's say it's Dr. Reinforced Learning. But then not just stop there. Let's talk about doctor specific meaning. I'm an ER doctor. I should only do human reinforced learning or clinician reinforced learning in ER medication. Listen, I have no business in pediatric surgery because I'm not a pediatric surgeon. I have no idea. I may look at it and say, oh yeah, that looks good, but in reality it's totally wrong. That's not what's done. And so I think that is the future. And that's what was going to go forward. Not promoting. I don't have any stock, but there is this company called Glass Health AI. That's what they're doing what I just mentioned, but it's a private company. Another is the Hippocratic AI. They're working on this as well. And so these are just two that I know for sure. And I know there's more than that because I write about it in one of my books. But, but, but that's the future.

Yeah. I can't, I can't wait to see how that unfolds. And even as a patient. Right. Like I'm looking at this from, from that perspective, I'm excited for this technology because it's going to improve care, I think at least. So couple, couple other questions and comments. Sarah, thank you for your comment saying the human touch and interaction is so important and AI can be a great tool to enable us with communication with patient and families. Thank you for that. 100 agree. Ryan. Ryan has a question here. So you know, talking, following up on the mid journey, coloring books, you know, never thought of it for pediatric cases, saying it's brilliant. I agree. But a question for you. Do you see a drastic change in medical education with AI? Because I know you've talked about this before, how hard it is for physicians and how much they have to relearn on an ongoing basis. How will ChatGPT or AI in general help with education?

Love that question. I've spoken to several companies and I've seen some on the news that basically is sharing that they are changing the way we educate and not only the way we educate but the way we're testing. So how will it change? In medicine we use something called up to date and obviously the goal is to stay up to date because technically textbooks take forever to print. So it's online and they can change it. But what's funny is that up to date is technically not up to date. And so, so what they're doing is they're using the power of a GPT equivalent, let's just call it auto GPT, where it's going out to the Internet or going on to medical references and it's telling it go into PubMed or whatnot and then plug that into up to date. And that is what the company I've heard is starting to do. And so what's that going to do in the future? Well, I'm already seeing different companies talk about creating a GPT equivalent into education. For example, I'm going blank on the name But I think it's Wharton School of Business out there. They have a branch where they're teaching using a. I'm sorry, using just regular education. I remember hearing a talk where the professor said what used to take him two hours to explain and to create the content is literally taking him minutes. And so he was kind of sad that it took him years to create all this content. He said if he just sat down with his team, he could probably knock it out in a month. And so that's just the power of education. So my point is medical school will change as long as, as well as all the other schools, law school and all the other undergraduates.

Yeah, change. I think change is the name of the game here. You know, even if you look at when ChatGPT first came out in November of this year to where we are now, things have changed drastically because of the GPT technology and other companies being able to tap into it and kind of build their own models off of it. So as a reminder, if you are tuning in live, please leave a question for Dr. Harvey. But I do have a question because there's a whole area of your background that we haven't even tapped into. And I would be remiss if I didn't ask some of these questions. So we even opened up the show with one of the news pieces talking about just how much money is going into AI, you know, startups or, you know, established health tech companies. You know, you have a background as an investor and an entrepreneur. How do you see just outside money combining with AI in the medical field? Is it a. But could it be too much all at once or do you think it's a good thing to see that innovation happening with this new AI and GPT technology?

Yeah, that's a tough one. And let me explain why. You know, and I'm going to go in my soapbox here for a sec. So excuse me for doing it. Elon Musk invested into OpenAI because he wanted to keep it open. He wanted to keep this information away from someone called Microsoft or just a big corporation. And so the goal is, if you think about it, if you have OpenAI or you have some kind of GPT equivalent non touch with, with private money or public money now then in the goal is you could do whatever you want because you're focused on the goal once you have an external factor. And I love Microsoft, for them to come in and put money now they have to answer to shareholders. And I know OpenAI is not owned by Microsoft, but 49% of it is and so it changes it. So how does that affect my statement in medicine? Well, it makes it a catch 22, because now there's going to be that pressure, external pressure, saying, hey, we need to produce money now we got to do X, Y, and Z. Whereas if you're just doing it of the kindness of your heart, you're like, hey, let's create a better health care. There is not that external factor. You can do more. So that's one issue. With that said, it's a necessary evil we need the money to create. Now, here's the opposite side of that. If you fund it so well that the company doesn't do the judiciary duty by using that money well, and they waste so much money that when it goes out to the consumer now, it costs so much money for the hospital and everybody else, you kind of defeated the purpose. Now it's actually increasing healthcare costs to use this tool. Yeah.

Speaking of costs, I think one thing that can be offset, obviously, is using AI and GPT in the medical field. So Monica's question here, a great one. So how will AI impact the medical industry in areas such as procedures and surgeries, lab work, and robotics?

Oh, my gosh, this is awesome. So, you know, one of the favorite sayings in med school was, see one, do one, teach one. And so applying that to a procedure. I've already seen this amazing surgical AI and I again, don't ask me for names because I'm horrible at names. But the skinny is I either put on some VR glasses or a monitor. But the skinny is I'm in the surgical field doing the procedure. But the AI is identifying the human body part. It's telling me, cut here, this angle giving me little dots. I'm able to cut. And it's walking me through other things. With AI is just that virtual AI, you know, another soapbox basketball. They say if you can just sit in bed and just pretend you're throwing the ball, you'll actually do better at free throws than just throwing it. I mean, that's just another way of practicing taking it to the medical field. If you can see and visualize your patient, say you have a digital twin and you're able to do the procedure, and you're adding AI now you're able to navigate and see what you're able to do, and then you're actually cutting and you're practicing the procedure. As a resident, I hate it when they were like, okay, Harvey, did you see how we did that? Here you go. And I'm like, crap, I'm having to do this procedure. How nice would it be to have AI walk me through? I'm not plugging in this company I'm consulting for, but it's called, not to give you the name, but it's basically AI and ultrasound and it's navigating you how to do ultrasound. It's basically letting the common person at home be able to ultrasound themselves. And I thought, man, this is the way to do procedures and to do things. And so how that apply. I talked about procedure, surgery, lab work and lab work. I see it being more automated where we can talk to our data. You know, one of the most frustrating things, including for me, is when I get my physical exam and I get my stuff in labs, I got to go back and compare. And I know there's graphs, but how nice would it be able to upload it to a GPT equivalent and say, okay, what's my trending glucose? What's my trending whatever? And it would give me the numbers without me having to physically look for it. Yeah, that's how it's going to change.

That's. So that makes perfect sense from the physician side, but I'm also wondering from the patient side. So an example I'm thinking of, you know how you said, like, oh, how you can ultrasound yourself. That's amazing. But I think one thing, at least here in the US that patients are maybe frustrated with in healthcare is just the time it takes to get in to see a specialist. So accessibility, you know, it can be weeks or months, depending on where you live, just to see be, you know, a specialist. Do you see AI and technology maybe changing this? Like, as an example, could GPT come in to the. The everyday healthcare system and, you know, automate so much of the manual processes, paperwork, all of that to open up capacity or how do you see that playing out?

Yeah, I love that question. I saw this amazing model, and I've seen two, actually. But the skinny is this. Just as you and I are having a conversation, if we were. If I was being your doctor, I'd have to look down and figure out my keyboarding and type. And then I hate when you meet with the doctor and they're just like, turned away and they're looking at their computer. They call it cow computer on wheels. And so instead, what I see happening in the future is, and I already see the product, they have AI listening to the conversation, transcribing the conversation. And I'll take it to the next level. This camera that I have here, being able to take my physical exam. So Literally, I don't have to document anything. If anything, I just look at it and make sure that everything's correct. Correct. And so that's going to free up my time, it's going to make it more efficient. Now, talking about, from a patient's point of view, how to see a doctor. I talked about this at AI Med. I see a future where I wake up in the middle of the night, I'm having symptoms and I'm having a conversation with the GPT equivalent backed by a doctor and just kind of going through it. And then all of a sudden telemedicine pops up and says, okay, I'm your doctor. I'm here at the er that's close to your house. What's going on? And then I'm like, you know what I need to have. I need you to see me. So come, but then play with me here for a sec. I have my ambulance, my virtual ambulance. Come get you. So it's like a Tesla equivalent. It self drives. It comes as you're in the ambulance. That camera I talked about earlier in the show, it's giving my vitals, it's giving me information and me in real time. I'm seeing it on the other end. I'm like, oh, wait, this person needs an aspirin now. So then it's printing an aspirin, and then you take the aspirin and then by the time you come in, I already know you. I've already seen you, I've been seeing the feed. I have all this data. I already have, like I mentioned, that hemoglobin A1C. I already have your sugar. I already know a lot of things that are going on. So I think this is the future. And I don't, and I hate saying future because I see a lot of these products today, and I think that's going to come sooner than we think.

So speaking of the future, and if you do have a question for Dr. Harvey, ask it now, because otherwise I'm going to end on this one. So speaking of the future, sometimes I put people in the hot seat. I'm going to try it again here. So the same way, let's take an easy example. Media, the way that we consume media has changed so much. It used to be just, you know, you'd go rent a movie from Blockbuster and read a newspaper. Right now it's streaming directly to the phone and, you know, push notifications for what you want, what you need. If you were to take. Take a look, you know, at where, you know, healthcare was maybe five years ago versus where it's going to be in five years. What do you see? What is the equivalent of the, you know, the streaming media, the, you know, personalized push notifications that we get information? What do you see happening in that regards for healthcare in the medical industry?

You know, I, I unfortunately I, I see those advances outside the US before we see them here, but I think those outside countries will produce things because of legislation and because of the need. Risk versus benefit. Let me explain real quick. In Africa, we have areas in Africa that don't have Internet, don't have, have access to health care. So it'll be a combination of using like satellite Internet with a GPT equivalent and a physician assistant, but that will go out to the masses and be able to take care of patients and then take it to the next level. There'll be places where the government will subsidize GPT equivalent on your phone and it'll be your health care and they'll allow it because they'll say, you know what? Risk versus benefits, either this or nothing. And we need our population to be able to catch things. And so the future will have these things. Now will it happen here in the States? There's legislation, there's a lot of issues. I know doctors are about to, I'm sure I'm going to, my phone's about to go crazy for saying that, but I think it's going to take a while. Here in the US I think we'll get something like that, but it'll be a lesser degree. But I think the pressures from other countries and depending who's the president will change legislation and to answer it, we'll see those changes here.

It's going to be exciting. But regardless, you have I think, think a great, like if you're listening to this, watching this, you have a great resource because you know, not, not to plug Dr. Harvey too much but you know, he has literally written the book on ChatGPT and healthcare. He's putting out great information. So whether you are concerned what this is going to look like from a patient point of view or if you are a physician listening in, make sure to, to check out Dr. Harvey Castro in our newsletter. We're going to be linking to all of his different resources. We didn't even get into it. You have a full podcast that is produced by GPT and AI Voices. It's amazing but I don't want to take up your entire day because we could talk about this for forever. So Dr. Harvey Castro, thank you so much for joining the everyday AI show.

Thanks for having me, guys.

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