I'm going on a nice date tonight, I can make out for reservation for me, but instead left for patient care, right? And, that makes a lot of sense. Not a lot of back-end support. So I'm really, I'm pleased by TopCon's healthcare from the AI Initiative.
I can get certain that that type of language is good for the field and don't. It's good for all of players because it elevates eye care to a position where it really should be. I mean, at the end of the day, while we are very specialist, we're also primary care providers. In the sense that patients seek us out for quote-unquote vision problems, but then we see that they may have, you know, we have capilladeum from all sorts of puzzles.
No, it was definitely not planned. My father is an endistiologist, so I always thought I would be doing... Brad Smith once said, our future success hinges on our ability to embrace AI and use it for good. Hello everyone and welcome to an early optometrist, a podcast channel for all things eye care and this is your host, Okti Bora.
Before we dive into yet another amazing episode with our nerdy guest, I want to remind you all to not forget to like and follow my channel on your favorite streaming platform. With that, let's dive into welcoming our next nerdy optometrist guest, Dr. Rehan Ahmed. If you have been in this space of AI and technology and if you are an optometrist, I'm sure he needs no introduction because as an optometrist, I have heard a lot about him as well.
So let me get started in going through a formal introduction. Dr. Rehan Ahmed is a board certified off-tharmalogist passionate about improving eye care with technology. He has extensive experience in the wide spectrum of eye care from direct medical and surgical patient care to managing medical optometry and off-tharmalogy practice.
He is also a co-editor for AI and Eye Care published by Jopsen and CMO at Blink by Global Medical. He's a true nerd. I don't know how he manages it all, but we are going to break that through and understand his journey on this episode. With that, a very warm welcome to the nerdy family.
Thank you so much, Okti. I really appreciate you having me and I love the name. I do identify as very much a nerd for a very long time. So it's a pleasure to be on American Key for a career listing me.
I'm so happy you like the name because that's the goal to make nerd a coolest thing on earth or in the eye care industry. And with that, I want to dive into my favorite first question is, how did you bump into eye care? Was it an accident or was it something that was planned? No, it was definitely not planned.
My father is an endistiologist, so I always thought I would be doing medicine. Although the real story, if you want to know, it's a very nerdy story. It's a nerdy story because it actually ties into AI too. Because, ok, it was, imagine, I don't know where you were, New Year's Eve on December 31st, 1999.
I could probably not be younger than me, but I was a senior in high school at the time. And I was very much into AI and computer program. And in high school, I was a senior in high school at that time. I was working on artificial neural networks.
Believe it or not, I thought I would be computer science, go to MIT, do all the computer science-y stuff. But I was working on artists to show neural networks in C++, that's the programming way. And we were working with a robot on a robotic vision system to identify tic tachto, like to Xs and O's on a tic tachto board. And I was just programming all night, and I was just obsessed with it.
I missed all of New Year's and so it was very much a nerdy moment. And that's how I got, so in computer science, I got really interested in the biological. So I was looking at the computational basis for intelligence way back then. And then I got interested in the biological basis for thinking and consciousness and brain.
And I was a philosophy major in fact. So that got me interested. But eventually this got interested in, well, how does a brain actually do it? I mean, it kind of interested in computers, but how does a brain actually do it?
And then that got me interested in medicine and then in anatomy in my first year of medical school, I was just fascinated by the eye. I remember looking at the iris through a sit lamp for the first time and seeing, kind of look like a mountain. Like, you see the valleys and the peaks of looking at the iris in high magnification. The constrict and dilate at the slot lamp.
This is like a really beautiful organ. And site is such an amazing sense that once we lose, you realize how valuable it is. And for all the reasons that you have gone into eye care too, those are similar. And I thought the work-life balance of surgical medical care was just in the technology.
I mean, what other specialty in medicine can you shoot worms with a laser or do things with a laser and you operate? So I love off-lot. I think I'm very happy with the field ever since choosing it. But that's for my journey in a nutshell, how I bumped into eye care.
Oh, that's really fascinating. And I'm really interested to learn how your passion for technology and science and AI, you made sure that it comes back after becoming an MD as well. So though there was a curiosity. I call my mom, like had I actually not gone into medicine and stayed in AI, I think would be maybe a different place.
But yeah, I know it's in a France on journey so far and you're excited about that. But as you rightly say, eye care is such a fascinating industry and space. And especially right now with the fact that this is an only organ that you can scan life without being invasive. I think that gives us so much opportunity and we are the only one of those healthcare systems which collects so much of data.
So when you're talking about technology, AI, you know, learning and building new, new technology, I think this is going to be like your fun place. So I think you were able to kind of bump into the right industry and then go back to your first love, which is technology. You always find a way, I mean, life is very funny that way. You have these interests when you're maybe younger and junior high in high school and then you go do certain things and you realize like, oh, I'm coming back to this.
So there's some truth in these sayings of like a comes full circle, right? Because oftentimes, you know, we have this internal compass and we just sort of go back to where maybe on our original interests are despite maybe in all the different paths. And you know, there's definitely nothing that what I gave you was a very linear start, nothing linear about my, about the true stories, like ups and downs, like everyone else. But yeah, it was a very nonlinear story, but we do tend to go back to our first loves and times.
Absolutely. And it's best to be able to marry both your love, like your passion for medicine and technology. So tell me a little more about what are you currently doing with like, you know, so much involvement in AI, you are like a co-author, you're publishing articles. But tell me more about how are you pivoting or contributing your love for technology in IKEA?
Yeah. So I'm the part of a couple startups and I advise a couple others, all revolving around IKEA or at least they're adjacent to healthcare. Some going from purely AI diagnostic startups to more maybe retail adjacent type of things, think, you know, maybe frames and IKEA like that type of thing. But they're all, they're all tangentially related to IKEA, which is, you know, really my passion or where I think my, I mean, I think we all have to realize like what are our strengths and where do we have domain expertise that, you know, no one else could just sort of copy, right?
So that's where I think I have a unique, some unique insights and value that I could add. And so those are the areas I like to play in. And of course, you know, working with Blink, which makes intelligent smart tech enabled frames for ocular diagnostics. I think it's a super, a really interesting start art and we're excited to finally have a product rolling out sometime early this summer and particularly in Gufumeiope management.
So I am very, I love working with optometry and ophthalmology and IKEA provide as opticians as well. I think we all have a great role to play together in advancing the field. Absolutely. And you mentioned, you mentioned about working with startups.
How do you identify? Because now there are too many startups that are coming out and you also being in the IKEA space, if say someone is putting a startup together who is not from the industry, you have the domain knowledge, but you also want to make sure there's an ethical use of that technology you want to contribute and be kind of a gatekeeper. But how do you identify whether it's like which startup should you look out for, which startup should you partner with, where do you invest your time because there's so much happening in this space now. It's a little bit overwhelming.
There's a ton happening in this space. And actually, I get a call literally every week and they're great calls. Like I had a friend call me the other day in Texas and he had an AI start that he's I mean, everyone has an AI start. But you know, I think what's great about healthcare providers is that we seek problems every day and really what any company is about was about solving problems and first identifying the problem of what are you actually solving for.
And then having a way that solves a problem that makes sense for your customer and that they're willing to pay for. So you asked how to identify them? Well, I look at the problem that they're trying to solve and is it something that their customers are first and then their other customers willing to debate for that technology. For example, I think there's so many pain points in healthcare that it's almost like it's so easy to identify problems for you.
Like making a point like why is it so hard to like I was helping my mom try to make appointments with her primary care doctor. Why can't I make an appointment Sunday night at night and by calling the doctor's office and talking to an AI agent to make an appointment and that technology exists. A lot of people are using it, but way so many more people should be using this type of technology. It's like, or my barber has better appointment management systems than my, than clinicians often and and we can offer a lot of really full technology.
So I think I think there's so much opportunity for startups that are specific to that within eye care. I mean, that's a great opportunity to have this way. There's so many problems and things that insurance authorizations or back in support or operational support or tech support technologies to streamline the exam process. We use so much technology in our healthcare that there's so many problem points and pain points there that there are a lot of companies that are working on these.
So I'm really excited. I think what we're going to see is over time is going to be a culling of the number of companies that was not everyone's going to succeed. But you know, we don't know who is the missing seed or not. So it's a great, I think it's super exciting time for sure.
Yeah. So what do you, let's, let's talk about the other side of this whole AI and technology is the fear that still surrounds when we talk about AI, AI is going to take away our job. It's not accurate enough. It doesn't, it's guiding.
There are no ethics or rules or regulations up to the mark where it needs to be. There's so many things going on. So being an MD yourself, how are you able to look at it as a tool or a solution that is going to help you versus a threat if you were to, you know, talk about it to your colleague? That was a great question.
So I actually a server on a community. It's a Texas medical. So I'm based in Texas. It's a Texas medical association for AI.
But here AI doesn't stand for artificial intelligence. It actually stands for by designation of the Texas medical association. It stands for augmented intelligence. And I do that distinction is very important.
Not every medical study has that. I think, you know, truthfully maybe there's some PR and that as well. But I think it's a good point that physicians should always have and that, you know, we're not talking about the intelligence that's replacing anyone. It's augmenting.
It's a tool in the toolbox. It's a very powerful tool, but it's still a tool. And so the other common line is AI is not going to replace us or replace doctors. But AI doctors who use AI are going to replace doctors who don't use AI.
And I think we already be sure to see that, you know, in the sense of the workflow, the amount of patients that you could see, the amount of triage can do, patient schedule, for instance, you know, if there's an office that's doing these sort of high tech type touch points. And I think that's not what patients made it to this boat with their feet. So I think that's going to be the thing. And I sort of view AI in like three buckets.
I don't know if this is helpful for your audience to sort of think about. It's helpful for me. So I kind of view AI as like in three buckets. The first bucket is AI as your assistant.
Like you're like, you're, you know, like a good friend, like someone who will schedule your appointment. It's kind of like, you know, like, hey, you know, make a, I'm going on a nice date. Tonight, when you make a reservation for me, but instead left for patient care, right? And that makes a lot of sense, not a lot of back in support.
So that's one. And then there's AI as an agent. And the agent is like someone, something that could do, you could do what you already do. And that's an AI for Guy Better, now, you know, we all diagnosed that better.
Not being mad about it. So we're, but to do that scale, thousands of them a day, instantaneously, you know, that's nice to have somebody that's acting like you like an agent, right? And, you know, IDXDR, Luminex 4, and AI Health and some other, you know, many other companies are working in this space, right? A dad, an opt for a coma or whatever.
And then there's AI is super popular. And that's, that's kind of like your, the smartest friend, alien person that, you know, is not even human, right? That's the person I could book at a retin and say, is that a man or a woman? We'll look at a retin and say in five years, they're going to have to stroke or they're going to have all time.
All this sort of amazing, uh, economics, um, stuff that's told, advancing at such an incredible pace. So that's, I sort of look at Dubakos, assistant agent and super, super human. I think those are very helpful in communicating how AI can be used for both clinicians and in patients. So you get to have a framework, a mental model for thinking about it.
Uh, and in, in all of these three buckets, I think that's a very, uh, that's a very app distribution of, you know, what AI is doing today and how it's going to evolve. Where do you see, uh, as as IT providers need to kind of be part of this journey? How do you, how do you see each one either contributing, using what are your thoughts around that? Yeah.
I mean, we have a lot of work to do, uh, because I sometimes are worried that I could provide us everyone from on palm tree, out of the mollys that we're, you know, we're kind of getting must behind it. And I wrote a column and the AI, not to like shamelessly plug AI and I care, but go to AI and I care.com with my jobs and put a wrote an article on the smart bosses, right? Not the, not the, um, from Bleat, the ones I was talking about for author diagnostics, but you know, the ones from face from meta from bull Sam son, you know, I'm sure they have a few I can provide is on their team. I'm sure.
Um, I'm not one. I've loved to be one for listening. Give me a bite. Uh, but this, or are you, you know, like that's, that's, that's the other.
Um, but that is a huge area where I care providers need to be in that conversation. And that's, you know, there's so many I issues that are involved there. Um, from stereopsis to, you know, Diplopia to ice grain to fatigue that, you know, and what other things could we monitor? Like we need to be part of that.
So that's what kind of worries me. I was talking to Scott about that. Like we need to be part of that conversation. This is, this could be the future of computing.
We're saying like instead of a phone, you know, it's, we're going to be on glasses all the time. And what does that mean for I house? Like that that's our space is our space to win. That's our organ.
Right. So we need to be, we need to be part of that. Um, and so I would encourage that's something I'm also learning about. Like what, what is it?
Where is this going? Where's the future computing going? I think, uh, I think that's a great, uh, feedback that you shared. And I think what I'm, what I would also like to reiterate is we as I care provider need to think outside I care.
Like you mentioned about meta Google, they're all already investing. They've seen the potential that an I care industry can bring to so much information that, you know, just a pair of glasses. They've converted everything as smart, right? It's from, from your cell phones to your watches to your eye glasses.
So there's so much potential that these big players have already identified and they are going to develop it, whether you like it or not. So it's better to just get involved and, you know, hold your space and have a seat in that conversation so that you're able to be part of those decisions, part of that, uh, revolution of the changes that are happening with this technology. 100% you know, and I think a great, another great example is nuance, the headset, uh, which are in, in, you know, hearing. I remember one of my first jobs out, we had a, we had an audio list on staff at my, at the ophthalmology practice and, uh, because it makes a lot of sense.
We, we sort of see it and now you're seeing it done at scale. And so I totally agree that we need as I care providers, although we are I care for them. We need to think about the island. And that's why I'm really, I'm teased by top cons health care from the guy I initiated.
I can get certain that those type of language is good for the field in general. It's good for all the players because it elevates, um, I care to a position where it really should be. I mean, at the end of the day, while we are very special, we're a specialist. We're also primary care providers in the sense that patients seek us out, uh, for quote unquote vision problems, but then we see that they may have, you know, we have capital edema from all sorts of puzzles from increased, I see in the cranial pressure from, uh, due to some, you know, humor or papilladina or cerebral sinus, uh, like I science from BOSIS, right?
So there are all sorts of reasons, uh, for patients to visit their I could providers outside of just wanting to see better look better, et cetera, but we have a, we have a, uh, a real value, uh, in the healthcare space. Um, so yeah, and even beyond, even beyond healthcare, it's also wellness. And that's one thing that we're working with, with bullying, after again, not the bloodless company, but just in general, like, you know, the, uh, I had a movement can monitor for fatigue or Parkinson's or, um, of course, you know, digital ice strain is a big topic. And you know, and these, not, you know, we're talking about like kind of a wellness play here.
And, um, and so I think that's also a potentially, you know, could be, uh, another avenue for a new pump for me to do a start thinking about where is the I fit in from healthcare to wellness to, um, from fashion to actual, you know, seeing better. So I think there's so many different avenues that a new startup and think about where is the problem? Where do I want them develop my time manager to cure? I think that's fascinating.
And I think you've, you've basically nailed each section or each new technology that's exciting. That's, uh, like, you know, right there that's developing as we talk and also did throw in few ideas for anyone who's listening and you know, want to kind of think about some ideas, find this problem, you know, wait and think, yeah, let me think about it and develop something. I think that's, that's fantastic. You have had a journey from being a practicing MD to, you know, getting into technology and AI.
Tell me about any roadblocks or anything that you felt was difficult while you're, you know, trying to transition while you're trying to talk about AI being an MD. Like tell me about some of the challenges in your journey. Well, for me, you know, technology was, you know, I've always thought kind of facile with technology. I'm always kind of a tech nerd and I'm an early adopter, even with surgical techniques.
I kind of, I like that sort of stuff. Um, so that, that not to be roadblocks there. Um, I will say, you know, stuff is moving so fast. Uh, it's hard to keep up.
But the amazing thing is it's hard to keep up for everyone. Um, and everyone feels like, I feel like everyone feels like they're just learning new things every day. And I've eaten my advice to people who are listening is you just have to learn by doing at this, at this sort of cutting edge, you know, if everyone's working on from large language models to computer vision models to all sorts of new, like low code or no code platform for literally I'm working on something. I'm like, why I just made a, I just like wrote a computer program at, you know, 20 years ago, I knew, I knew C plus class, but you don't really need to go.
You can get by, you can do like a pitch debt. Uh, that would've taken you hours, if not weeks, months, you know, and like, you could do deep research using, you know, chat, GPT or books. So like some of that I have so many that I can't keep everything in, in my brain, like, oh my God, this is too much. So I do have a challenges focusing.
Yeah, I still have this. Then I'm probably doing too many things, but I think the issue is focusing and really honing in. I kind of like add this multiple shots on goal and I was like, oh, I just had multiple shots on goal and see which one goes in. Um, but you know, sometimes that's a bit much.
And so for me, it's about focusing. The other challenge I think for startups is, um, and under estimation of payment strategy, the monetization, I think it's a big issue. And if something we just need to talk about more in healthcare, there's not a lot of dollars to go around. Um, and so there could be really great technology.
And here I'm thinking about my own sort of, um, my own issue that I'd had in terms of trying to like raise money on things that I think are really valuable. But if there's not a clear payment strategy or payer strategy, um, that's come hard enough here. And there's also like a regulatory strategy and it's to be clear from the beginning. So that's then, uh, I think the roadblock for a lot of companies, they're using something's really, really cool.
Like a diet, you know, something at an earlier stage, et cetera. Um, but the issue is, you know, can you identify with that? Will you pay? Well, yeah.
No, I agree. I think getting, I, and this is something like, even if we talk about a simple thing like charge, I just, as you're talking about AI, uh, there is a paid version and there's a free version. How many people would really pay for it? Even though they might be using it like so, so often you can just pay and make it more secure versus a free version.
And I'm like, you know, I have it for free, but you're okay. So I think somewhere the industry is also, uh, not making like payments mandatory because you have free tools and that kind of diminishes the value of something that you're kind of putting together. So there, there definitely is a challenge of monetization. And I think it's also important to not over engineer things.
If you don't have a real path to kind of, you know, monetize it and make money out of it. Yeah. Yeah. I hear it's exactly right.
I mean, the, what, what I'm really getting at as well is that, um, you know, we have a fixed amized in the US, right? I'm going to get an international audience, but in the, in the US, we have a fixed amount of dollars in for the healthcare space. And oftentimes what happens is that the more times a quote is used, the utilize goes up in the reimbursement or the pay for that, for the technology goes down. So, yeah, those Apple a relevant code is something like, um, that's, um, the code for AI and to the patient of retinal imaging, you know, that, um, the code is adding nine two, two, two, nine, right?
It's a nine triple to nine code. That's like a CPT code. And it reimburses a certain mountain that has it to be used more. And, um, you know, that mountain being reimbursed will go down.
And if you just sort of extend out that metaphor, the analogy, well, as it gets more use, it'll go down even more, right? And so, um, you know, you one wonders if we need to totally rethink healthcare delivery to really take advantage of AI and I, I think you sure, you know, I'm thinking that's, uh, you know, obviously it's a really big lift. That's a big issue, but that's sort of like where I'm my head space is a little bit in terms of AI and diagnostics. I think that's a fantastic method for everyone.
And I think, uh, thanks to like, you know, my experience and exposure, but top-quan, which has also been challenging, um, all of us to rethink healthcare. And I think that's a very great message for all the listeners that let's start rethinking healthcare and not just I care if it's delivery, whether it is reimbursement, whether it is like, you know, patient care, like everything in healthcare probably will need to be reimagined with technology and AI in now in this space. Yeah. Yeah.
And when we, when we thought, let's talk about eye care being part of healthcare, I mean, that, that really, we should be responsible stewards enough that we should go in and actually be curious about our colleagues problems too. We shouldn't just think, Oh, wow. They would love to get retinal photographs of all their patients, wouldn't they? And just say, you, you would love like, I'm supposed to pop this retinal camera in my primary, my buddy's primary care office.
And he's just going to get photos all the time. And so I've talked to my primary care doctors. We're like, nah, nah, I'm too busy. The pay doesn't pay enough.
Uh, these patients, like the, you know, they, there's all, they don't sit the criteria. I does every MMI doctor, they're not diabetes or touch what's above. So, um, yeah, we have, so I guess I'm trying to say is we want to be part of the overall healthcare landscape. We are part of the healthcare landscape, but we need to be as we want them to be curious about us and what we're doing and how we can help them.
We also learn, fund encourage new starts, like, go, if they're in a general healthcare space to go see what their primary care colleagues are doing, what their cardiologists are doing, what their nephrologists are doing with their nephrologists are doing, what their neurologists are doing, what their neurologists are doing, and how can we get to be part of that, uh, process as well? You know, in a way, it makes sense for them. Absolutely. I think building a solution for the end user makes more sense versus building a solution that you are passionate about because you are not the customer.
Yeah. It's like you, you're like demanding people use your, you know, your fund this camera in the ma'am. You know, absolutely. I think this has been a great conversation.
I've learned a lot about your journey, uh, about like everything related to AI. And you know how we need to kind of broaden our horizon and look beyond the eye care and more into healthcare. But now it's time for a rapid fire section, which is a gay event where it's a simple segment where I'll ask you a question. First thing that comes to your mind, you just have to answer that.
Oh, oh, yeah. It's like a raw shark test. And you're like, you're like, you're like, you need to, that the help here I'm talking about the psychologist that's the person you can see for love. Let's do it.
I'm excited. So yeah, first thing that comes to your mind and it's a fun thing just for us to know you a little better. So that's okay. So tell me about your favorite destination.
Uh, Maldives. Uh huh. I've been like a builder enough twice and, uh, my sister just went there. I was visiting my pictures over a water bungalow.
If you have the opportunity to do that, everyone should do that once. And they're like, which is possible. Love that. A hobby or something that you do during your downtime.
Um, spending time with my kids. My, uh, my youngest just turned one yesterday. Oh, it gives me so much energy and joy. And there's really nothing better than that.
That's wonderful. I wish you your little one a happy birthday. There'll be one thing that people don't know about you. Oh man.
Um, well, people probably know about this, but you, you don't. So I, um, I love pickleball. I'm an amateur. I kind of have a decent duper, which is like the rating system.
I'm playing in a term this weekend. I played three hours yesterday from, from like eight to 11 p.m. So I, I really love pickleball and don't tell anyone, but I don't wear a pickleball. I hear I haven't found the right one yet.
That's another startup. Someone gives me some pickleball. Um, I productive wear, uh, for me. Love that.
Okay. Tell me about your favorite cuisine cuisine. Um, plyfish. All right.
I tie and go around. I am a Thai food fan as well. So next time you meet, we know which, which restaurant. All right.
If you were to interview someone dead or alive, who would that be? And what question would you like to ask them? So, um, I was planning at the end of this interview to actually invite you to a, a, an iCarby do weekly podcast. So I would love to interview you next week.
If you're available to be on our iCar podcast where that's but bad, excited to have you. I usually Scott and I do it, but he's out. And so, um, I would love to have you. And I'd love to learn about the exact questions you asked me to talk about.
Cause I know you're doing some really interesting stuff in AI too. So I'd love to talk to you about that. Oh, thank you. This is the first time someone asked to combine a wife.
I feel like a celebrity. All right. If we were to write an autobiography about your journey, what would you like the book title to be? Wow.
That is good. Um, yeah, I think it would be. You know, always. So I think the title would be something along the lines of always looking up or some clam that looking because of iCarby and up just because, you know, I, um, you know, like I said, it's not been a, it's been a very non-linear journey.
And on a different day, maybe I'll tell you about all the other, um, ups and downs, mostly downs, a lot of downs and a lot of ups. So always being optimistic and, um, hopeful for the future. So not always looking up. I think that's, that's a good title knowing what like another journey that you have had.
I know you're passionate about technology, but tell me one thing that you dislike about technology. So what I really like dislike, dislike about technology and is that it creates distance. It's intended to bring people on for thinking, intended to be. It just creates a distance sometimes between people.
Patients and doctors oftentimes is a computer in the way. Uh, parents and children, there's an iPad in the way. I do, but with that, you know, husbands and wives, there's an iPhone and, and, and galaxy tablets between them. So yeah, that's my biggest hang up with technology.
And track everything about buying them, just boxes that when you come to our house, you have to put your phone in something that doesn't, doesn't. But I, I can follow my own and my own advice. All right. I think with that, we're end with the rapid fire and I think you've done fantastic.
Good job. And I think I've learned a little more about you. And definitely next time we meet, we have to have Thai food together. And with that, before we end of podcast, if you could share one final takeaway message for all my, my listeners.
So it's something I touched upon earlier. I think to get into AI and I curse, you just have to start, you know, oftentimes you try to plan all the steps. But we are fortunate enough to be living in a time where this is potentially, you know, it's hard to under, it's hard to understate how impactful this technology is going to be. And so you just have to get involved.
You just have to get started. So, Kai, these tools, share your results. Please let me know how if things are going. I'm, I'm excited and I'd love to see everyone else get involved.
Love that. And I think get started is definitely a mantra. We all should follow where they, you know, getting involved in AI, starting something new, where they just starting your own practice, where they're still in your, you know, in your medical, clinical practice, starting, adding a new technology, building a new technology, just starting to even listen to a podcast and learning about it. Everything, right?
So with that, thank you once again, Dr. Emmett for your time. For all my listeners, I'll be dropping his LinkedIn profile in the description. So I highly recommend everybody to reach out to him and connect with him.
He has a lot of calls of knowledge that he'll be sharing that he keeps on sharing on his LinkedIn profile. Do connect with him, learn from him. And I think with that, thank you once again and a warm welcome again to the Nuri family. Thank you so much.
I really enjoyed this.