AI on the Field: Wearables, Recovery & the Future of Sports Medicine

Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:16):
Welcome to sports doc talk. Do not worry, I am real.
This is not AII. At least I hope.
Maybe, I don't know, We. Never know.
Yeah, I didn't know if we shoulddo the Terminator music, but I
was worried about copyright issues going into this AI
discussion. Anyway, I digress as I usually
do. Doctor Garcia, welcome to the

(00:38):
show. He's our orthopedic surgeon and
sports medicine specialist. Before we get started, once
again, sorry to do this to you. You're named top Dr. Once again,
congratulations. I mean, you have a lot of
accolades. You put in a lot of work, you
travel, you do your thing. This is not a, a show about, you

(01:01):
know, pumping you up. And I didn't tell you about this
beforehand, but I want our listeners to know that you're
constantly getting recognized not only in your state, but
nationwide, how talented you are.
So I just want to say congratulations before we get
into real conversation here. I definitely blindsided by this,
but I appreciate it. Thank you so much.

(01:21):
Yeah, I know. It's it's a really nice honor.
And yeah, we take good care of patients.
And this stuff's the fun part. We get to talk about the random
stuff in chill podcast mode. I get to wear my hat about to go
in the sun after this relax casual.
So this is the this is the fun part for me.
And then in the office, you know, we make sure we take care
of the serious issues. But no, Yeah, I appreciate it.

(01:42):
You know, it's been fun. All right, let's give a quick
shout out to our friends at The Recovery Shop.
Doctor Garcia, take it away and just let everybody know why the
Recovery Shop is #1 on your listwhen it comes to recovery.
I mean, I think the biggest thing for me is it's a busy day.
You're scheduling patients for surgery.
You're trying to make sure everybody's on time, give them
their time, and then, you know, the patient gets through the

(02:04):
whole surgical conversation about the schedule for surgery
and they're like, what else can I do, right?
How do I make my thing better? So this allows me to say, hey,
listen, I trust this recovery shop I work with a lot.
We've handpicked some things from there.
And so the patients afterwards can sort of have a potpourri or
a sort of catalog of what they want to get after surgery of
things that I would recommend anywhere from recovery, the nice

(02:26):
machine to nutrition. We've talked about this with two
of the least the players on there and you know, many other
different things and if there's something that they want, we can
get it for them, which is reallynice.
So it's all kind of one stop shop.
It's great for the patients. Patients have loved it, had a
lot of good reviews. And for the doctors, you really
should be doing this or having something like this for your
patients because the patients are going to ask for more and so

(02:47):
they'll be able to give this to him and makes him feel and a lot
of it data-driven that you can get people back with better
outcomes as well. So it's been great.
So contact Mike B. He's awesome.
Might be though. Yeah.
And maybe they'll be AI for thatsoon too, who knows.
Who who knows, you know, let let's kind of get into that.
And we, we're utilizing AI and what's amazing is that we've

(03:11):
only had access to AI as far as common folk for a very short
time. And it is booming in every
aspect of our lives. I'm I do events, I do a bunch of
different types of events in person, hybrids, things like
that. I do a lot of work for Microsoft
constantly using a IS constantlybeing part of conversations with

(03:33):
a is senior, senior leadership teams talking about AII utilize
it in my everyday life. This boom of AI that's happening
across the world. How are you seeing that effect?
Not only your everyday but at work as well.
I mean, it's not only from when I get home and open the news to

(03:54):
talk about AI, but, you know, obviously ChatGPT everybody
knows about. And now everything's gradient.
Like, you know, the idea is thatChatGPT in the next few years
will be the new Google search terms, right?
So no one's using it anymore. My wife basically uses ChatGPT
on her phone to figure out if she has questions rather than
Googling it, right? It's ChatGPT in it.
So it's here to stay and it's moving its way.
I think. I think the biggest thing for me

(04:15):
is, is the goal is here is to make our jobs easier.
I think the concern, and we can jump this in a second is for
patients. Is that is it?
Is it a takeover, right? Like is this artist intelligence
from the movies where all of a sudden you have robots doing
everything for you and you neverreally see a human, right?
There are certain aspects that there may be that case, but
there's certain aspects where really it's going to enhance the

(04:37):
care that you're getting. And that's what we're here to
talk about today is really help the patients understand from the
sports and from the medicine side of things, where is AI?
Because I've been seeing way toomany articles about this and
they each touch on little tiny topics.
And patients are constantly asking me like, what's the
future? Well, this is the future, but
this is a broad future, right? And I think, again, the misnomer

(04:58):
is this is version 2 point O of medical care.
This is not a complete flip 180.You're not going to come into
the office and see like, you know, you're going to see Doctor
Garcia for your knee surgery andyou meet a robot, right?
Like that's not what's going to happen.
What's going to happen is that you're going to phone, make a
phone call and it's going to be easier to get in touch with

(05:19):
somebody. Smith simple questions may be
answered by some sort of artificial intelligence.
More detailed questions will getpinged up faster for you, which
means that you're going to get because the workforce can only
keep up so much. So now everything is going to be
smoother for you. You're not even going to know
that it's AI. And then when it's going to
happen is when you actually really need to get the in depth
stuff. You're going to meet the
provider or the doctor or the nurse or the PA and, and your

(05:42):
whole experience can be better rather than, I mean, how many
doctor offices have you called? I mean, I would tell you that my
doctor office does a really goodjob.
We do our best to get things moving along and we still have
delays and people waiting on hold and they're frustrated.
Even in my office, we're very efficient or private practice.
I mean, my wife's called for appointments, 45 minutes hour
for other providers in differenthospital systems on hold waiting

(06:03):
to get in touch with somebody and then delays in calendars and
things like that. So that's the whole point.
That's what it's going to improve is improved care for
patients, which people it's hardfor them to think about it right
now. But let's not get to sidetrack
with that. I think really the continued
discussion here is that it's it's going to address everything
in all aspects of medicine. And we know this is the future

(06:24):
because we don't always talk about investment on this
standpoint, but and we could putthis put this slide first before
we get too far into that. So and then go one more further,
we'll just talk about that investment thing first and then
we can pop back over to the proceed barriers.
So this is a really good graph, but you can see the billions of

(06:47):
dollars that are going into this.
So when you have companies like like venture capital investing
in healthcare, startups, in AI, and this is like where they're
all going, right? Like they're like, this is the
next big thing, right? You know that you're on to
something, you know, this is thefuture, but it's also, it's good
for patients to see this, right,because this is where the
money's going. So this is means that this is
where the innovation is going togo.
As much as we don't want to talkabout money on this doctor's

(07:09):
podcast, the money drives innovation, right?
Like none of these companies, It's reality.
It's drugs that companies too, like you don't get these amazing
new drugs because they're cheap and free.
You get these amazing new drugs because there's a lot of
financial gain for the pharmaceutical company.
It's the same thing with these implant companies.
There's a there's a financial gain.
We want to make patients better.We want to make them get back

(07:30):
faster, but there's also a, there's also a monetary aspect
of this. So it's the same thing.
They're in VCs investing AI startup.
So this is here to stay and thisis where the industry is going.
I mean, I've gotten calls with financial advisors and talking
about, you know, we're really looking at AI is the future, but
how can we use it to decrease some of the workforce that we
don't need as much and switch over the jobs, not stealing

(07:51):
jobs, but now you have AI jobs, right?
You're in charge of designing AIprograms rather than AI taking
your job. Now again, I'm not going to go
into too much detail with this because obviously I'm not the
world's expert on it, but that'swhat we're seeing.
But if you want to go back to that first slide, I think this
is really interesting for someone, maybe you for more
layman terms can under can thinkabout this.

(08:12):
There's perceived barriers, right, in healthcare.
And one thing you don't see is implementation costs, as much as
this is going to speed us up, make us better, make us faster,
and make us stronger. It is not cheap, right?
And everybody's trying to make abuck off this.
So you have companies, I mean, Iliterally opened my LinkedIn
yesterday and I had 6 AI offers for companies that wanted to AI

(08:35):
my revenue, AI, my billing AI this, AI that.
And for a small fee, they'll help you implement it, right?
Or you have the people that are the chat GPTS that are not
ChatGPT, but they're faking it, right?
They're charging you for ChatGPTon top of it, right?
Like everyone's trying to make abuck off this.
So they're expensive. I mean, and as much as AI is
just computer you think is it's low cost, there is still a cost

(08:59):
because people are programming this AI.
Maybe at some point you won't need to, but there are still
people that have to be involved in this and there's still
implementation costs. So that's really important to be
aware of. And obviously, like you said
that here, you can see the workflow integration like how do
you work it in who doctors opposite as really minimal
medical records like we have. We have a lot of digital, but
some offices are paper. How do you do an AI with a paper

(09:21):
office That's very challenging. You got to start the
infrastructure of that. In Seattle it's less, but
there's still plenty of offices that still do paper with some
respect to the other. Especially across the country,
depending the communities and you know how old people have
been there, what you know, because as most of us, you know,

(09:43):
and we kind of stay formatted what what we know best, right.
And sometimes we don't proceed with change Kind of piggyback in
on the fact that you're talking about how some offices wouldn't
be there. But the, the big one that I'm,
when we're looking at the graphic here, privacy and
compliance, right? That to me is the big concern,
right? That's, that's going beyond AI.
Those are the, the Facebook conversations and, and data

(10:06):
that's being shared. And so that when it comes to
concerns, right, those are the big things, are, are there
certain things that are happening in offices or are we
still too early as far as makingsure that the privacy and
compliance doesn't spill when itcomes into AI and how
information is being shared? So I think when you think of AI,

(10:29):
you think of like, you know, I think the layman person may
think like AI. This is a, this is a self
thinking learning module that we're going to set up.
So you really can't put bars on it, right?
But the thought process is this is still a program, it's still
designed and then it has its ownlearning capabilities to it.
But it really is not only is it learning, but it's basically can
pull a lot more information fromaround the world than through

(10:50):
the Internet than the average program too can do, right?
It's just not as clunky. It's like the upgraded computer,
but much better, right. And so the, the process here is
that, you know, there is HIPAA compliance.
We have HIPAA, which is where wetry to protect people's things.
But it's hard, right? Like if you, I think the thought
is that basically it's not goingto be an X put like basically
the idea is like it can gather information from you.

(11:12):
It's not going to like start sending off your data to other
people. But yeah, you're right.
I mean, if you have, if you design something that can like
breakthrough firewalls and it's like, OK, how do I diagnose this
patient? Well, the only way this AI knows
how to do it is to break into someone's records and take
every, every patient's ever had that diagnosis, look at all
their symptoms and then diagnoseyour problem.
That's concerning. So you have to have, but the

(11:35):
problem is too, it's also got tobe more of a global thought,
right? So we're, so we're not there
yet, but there's certain implementations that are not
really needed for HIPAA, right? There's you're talking about
like making a diagnosis without any provider available, without
any other records. But there's enough stuff online
that much as I hate some of the doctor Googlers, you know what I
mean? The people would come in and

(11:56):
they'd be doctor ChatGPT years. You know what I'm talking about.
They diagnose themselves on ChatGPT.
And I'm have to explain to myself how that may not be
exactly right, right. Sometimes they're right and
sometimes they're not. But the, the point being here is
that, you know, they, there is some aspect that's you have, you
can get that inmate. You don't need to go into

(12:16):
somebody's records and get that information.
Like if it's, there's enough data and enough textbooks out
there that don't have patient information that most of these
programs can learn from. So I have low, I don't have much
concern about it because I feel like it's very stringent.
And unfortunately the medical field is way more stringent than
anything else. So basically like if I want to
do something like it's got to have gone through multiple
checks, right? It's like the pharmaceutical

(12:38):
injury, like you can't just likestart putting things out there
versus there's a lot of other things which we can, we don't
talk about now that are industries where there's no
bars, there's no checks and balances.
I have tons of checks and balances on me.
So there's still always room. As we know, if you look at the
news, you've seen it before. There's different ways people
can be scrupulous, but it's a lot less likely in medical than
his other fields. That that leads me right into

(12:59):
this question in between using AI as a diagnostical tool versus
a decision making tool, right? You're still relying on
everything that you've learned, all of your experience, maybe
peer-to-peer. How does that compare or, or is
that some of the conversations that happened within your office
and just, you know, your peers? Yeah.

(13:21):
So let's go to that slide on thetop clinical uses of AI in 2025.
I think that'll be good to go over that one and then we can
kind of ping into the doctor. So yeah, I'd say next slide
because that AI is so this is really good for patients.
So when you think of diagnostic tool, it really kind of depends
on what you're talking about. So the real use of this has been
radiology and medical imaging, right?

(13:42):
Can we use AI to help? Why is that?
Just to get high. Because radiologists are very
important, but there is a lot more black and white there.
Like you're not interpreting that picture.
They're looking for something onthe image, right?
And it's a lot different than like you don't have to listen to
the patient, calculate the MRI, calculate physical exam and then

(14:03):
hopefully use your experience. And then sometimes it's the
patient's decision, right? You'll like, you get a patient
that comes in and they have an ACL tear.
The program may just say you just need to fix it, fix it, fix
it, fix it, fix it. Like everything says, fix it.
But the patient doesn't want that surgery, right?
So how is the AI machine going to back off and say, listen, I
got to listen to the patient here.
Yeah, yeah. Versus in radiology, there's no
conversation between the patients.

(14:24):
They're maybe talking to the doctor occasionally, but they're
all they have is that one thing in front of them, right?
And they have data pieces, maybethe patient's diagnosis.
So it's a lot easier to put in the data and then they can look
at patterns, right? We all use patterns in our
brain, but a lot of times my patterns are developed from
multiple pieces. It's physical exam, which you
can't get from AI until it's actually been done.

(14:45):
Does that make sense? And then there's experience.
Then there's also conversation with the patient, hearing what
they're saying, because sometimes they don't know.
Like they'll give you exam findings that'll be all off, and
you've got to interpret that, plus the MRI plus that.
Does that make sense? Yeah, Yeah, it's just a little
bit a little bit more complicated in that sense.
It's not that radiology is not complicated, but it's pattern

(15:06):
recognition. They're very, very good at these
radiologists. I mean, you can see go to the
side before just really quickly and show this, if you can go by
there. I just want to show this for
them. I mean, that's AI versus for
breast cancer, lung nodules, fractures.
I mean it's very similar to radiologists.
So it's not like it's, it's not like these, it's not like these

(15:26):
radiologists are making mistakesand they're finding it.
And this is, again, this is certain studies, right?
If you look at 1000 studies, some studies will be positive,
some studies will be negative. That's the problem with some of
these massive problems that we look at because you can
interpret the data either way. You can interpret this data and
say, well, they're all higher inthe AI.
So AI is better than radiology. But like, what are they
diagnosing, right? Are they diagnosing non

(15:48):
cancerous breast cancers? Cancerous breast cancers?
They're different, right? If you find, let's be honest
right here, lung nodules, I lookat MRI, I saw two MRI's in the
last three months that have shown a lung nodule, but they're
usually benign, right? So now that person's got like
extra aggressive findings that the AI machine's like you have a

(16:08):
lung nodule and now they're freaking out.
Ends up not being a big deal. So we're not there yet and we
got to interpret that the radialjust sends us the lung nodule
thing. They say cannot, you know, not
concerning for major cancerous things, but by this criteria,
you know, you should look in sixmonths and blah, blah, blah,
blah. But maybe the eye is just going
to be like lung nodule, not good, right?

(16:29):
Like you don't know, you don't. There's there's not also.
A A checks and balances, you know, as as far as in in
conjunction, right? So based on your diagnosis and
then checking it with AI it you know, so is that tool being
utilized in in that manner or ina different manner?

(16:50):
I think that's an excellent point.
I mean, that's really what AI isfor us in medicine.
It's a conjunctive tool. Like the, the expectation is not
that you're going to send this, your images to AAI radiologist.
The area is just going to scan it and then they're going to
send it back to you and no one will have checked it.
Does that make sense? Because I can tell you right now
that I would never want my images done like that.
But what is going to happen is, let's say the radiologist, like

(17:12):
I had this week, I had a radiology report that was not
accurate compared to the MRI, but I checked my own and it
happens. It's the same way if someone can
check me and they'll say maybe Garcia is not perfect all the
time, we're not perfect. But what's going to happen is
the radiologist reads the reportand then the AI double checks
it. And if it finds a discrepancy,
it calls the radiologist before they send it to you.
So there's less mistakes, right?And so that's really what's

(17:34):
going to happen. That's where we're going.
Or for very simple things, let'ssay you're in a rural place and
you get an MRI and you can't geta radiologist, you don't have a
contract or something happened. Or let's say you find a weird
tumor and you're in the middle of somewhere and you don't have
a, you don't have a contract with the real, just that knows
that specialty. But now you can use AI to be
like, OK, this is what I think it is and it's a lot cheaper.

(17:55):
And then you can send it over tothe appropriate people, right?
That's where that's where we're going to go with that.
You use them more as a tool thanjust a straight hand over say,
well, you do it. You know it's, it's in
conjunction. And then how does that benefit
you or does it at this juncture as far as planning for surgical
procedures or having conversations because I'm, I'm

(18:19):
assuming that you're having different conversations with
different peers, especially whenyou're a group if it comes to
something that needs multiple discussions depending on the
degree. All right, so we're going down
the rabbit hole, so we'll go. No.
No, it's great. I love it.
But we'll go to this topic and then we'll bounce back because I
think we're going to miss some things that people want to hear

(18:40):
about. But the idea is guidance, right?
So like you get ACT scan, which is a scan you guys all know when
we look at X-rays, but a lot of them combined.
So we can look at bones and it'sreally good for guidance of
cutting like bone gutting thingsor shoulder replacement surgery
talked about knee replacements. So basically now you get the CT
scan, you tell the you tell and or the CT scan tells you what

(19:04):
you're going to do, right? And people were like, well, why
would you need to be told? Well, sometimes you can't always
figure it out or there's some subtleties.
So they can use more experience.Like if you're a new surgeon,
then you have AI to help you guide you what to do and then
helps with the surgical plan. Because sometimes that's the
hardest part, like when you start doing osteotomies like
I've talked about before where you correct the knee, it's a lot

(19:25):
more complicated than it sounds like the surgery itself is not
like the execution. If someone always told me what
the right surgery do every time was my job would be a lot
easier, right? The whole purpose of coming to
my office and getting the special stuff and me being like,
you know, even though I do so many of these, I'm not always
100% sure what the right osteotomy is until I get the
final scan. And so for me, and that's like
now I've done this for like 7 years and I've done a ton of

(19:47):
these and like super high volume.
So it's easier for me because I have the experience, but if
you're seeing like one or two ofthese a year, which is what the
common person with a common surgeon sees, like how are you
supposed to have that experience, right?
Like you can't just ping a friend every time you want to do
something and or you may not feel comfortable.
I mean, we all know that, you know, surgeons are they all ask
for help, but not all the time. And some of they don't know what

(20:07):
they don't know. And so it would be good, it's
good to have these programs up to these CT programs do is they
kind of, hey, this is where I recommend this or recommend.
But even when you get ACT program now, it's not smart
enough to say. Hey, listen, surgeon, you're not
doing the right surgery for thispatient.
You need to do this surgery instead.
And so that's where we're, that's where head is.
This is those like those tweeners, right?
Like the 10 percent, 20%, that'smore complicated.

(20:30):
That's when something that's when it basically gets bumped up
to the AI and the AI starts to help out with guidance here or
when you're doing like spine surgeries, like it's guiding
where your placement is and says, oh, you're off by 2mm two
degrees, move it two more degrees so you don't damage a
nerve, right? So that stuff's like, and we're,
we're kind of there, we have some guidance, but it's just
going to keep getting better. Because I, I, I think one thing

(20:52):
is like we keep saying in conjunction, it's version 2
point O right? Like I do dictations in my
office and so I do dragon. You may all know Dragon, it's
old, it's been around for a while.
So basically I said I tell it what I want it to say and then
it spits it out. I can tell you it's not perfect
all the time and and despite howfast I talk it like cannot keep
up even with supposed to be thisAI thing.

(21:13):
So we're not there yet. So that's the same way with the
computer. Like we need a faster.
We know, like I was just tellingwill, right?
We designed these backgrounds takes like 4 minutes for it,
right? Like you don't want your
patient, thankfully for planningpurposes, doesn't matter how
long it takes, but you don't want your patient, you know,
being like on the table and yourdoctor's using AI and AI is
stalling out because it's too much bandwidth, right?

(21:36):
Well, that's not what you have to.
Worry about knee open. We're just going to keep that
knee open as we try to figure all this out.
Are, are these the conversationsyou're having which appears like
what's the most interesting? And I apologize, I'm kind of
going sidetrack. What's the most like the most
interesting conversation you've had regarding AI with a peer or
peers lately? I think it's like for me, it's

(22:00):
like how well for what, for whatI could use AI for is like the
complicated surgeries, right? Like how's it going to plan it
for me? Or also for me is like, this is
the one thing I think AI is really important for us.
Like how can I do all the thingsthat I don't want to spend my
time doing? Like website does not.
I mean, this sounds bad because it's like we're not talking
about the crazy cool stuff, but like AI has literally freed me

(22:20):
up. I mean, everyone who says like
you have, you do too much stuff like your website, you have your
videos, you have your podcasts, you do surgeries.
Like I have to do all this, all this stuff myself, right?
So now I can like have my website designed with my company
and then spit out a lot of information with AI and then
check it and then send it up. Or like when we're designing
this podcast, right? We've had AI help us design this
podcast because there's absolutely no way we could do

(22:41):
this much research amount of research that we were able to
get from the AI could take literally like 25 hours, 30
hours, right? Like we're able to get a lot
better content to patients. And then and then when we review
it, I'm like, OK, that doesn't seem right.
That's not accurate. That's not accurate.
That's definitely what I was thinking, you know, and then
like even making the images, right, like this image before
would have been a copyright infringement, trying to find the

(23:03):
right image, right? So it just, it saves US hours of
time. So now what I do is instead of
stressing about the small things, I only focus on, like
doing a good job on surgery, talking to patients, making sure
that we do a podcast that's got a ton of content in it and we're
able to focus on that rather than like, I'm just gassed, man.
You know, we spent 20 hours getting this ready.

(23:23):
I'm done. Like, I can't even talk about it
right now. Like it's just, it's just all
my, my brain is totally scattered, you know, even like
designing projects or research papers or things like that, it
helps with guidance. I think of it as like, like if
you, you get writer's block or something and it's like, now you
don't need to worry about that. Like your your skeleton's made
and then you can design it. Obviously it's a concern with
some of these companies, right? Like if someone can have a whole

(23:44):
PowerPoint made by AI, but it's not there yet, at least maybe I
don't know how to do it. But I think The thing is like,
even when you ask it to like, I want this article making this
article with these citations, ithas like no idea what it's
doing. So it basically like it does a
good job and then it starts making up citations.
So you got to be careful, right?Like what you tell it to do?

(24:05):
Have you seen anything on your end?
And I know you have kind of thisis the surgery that we did.
This is kind of what I want to see after week one of the
surgery, week two a month, so onand so forth.
Are you utilizing AI as with part of the rehab now or you

(24:25):
incorporating any of that? Or is that something that you
know or you're just kind of like, hey, this is what I
normally do with this process. So I'm sticking to what I know
works best. I think we're not there yet, but
there are so many wearable devices.
I mean, I think we're going intothe path you want to go, which
is great. So I think that AI we're looking
at from an from a sports standpoint, we're looking at a

(24:45):
bunch of things, right? Wearable devices.
So if we collect data and movement, vital signs, I mean,
we got AI on my wrist, right? Like, you know, the Apple
watches are all smarter. Apple got its huge AI upgrade
recently, you know, can we detect if someone's, you know,
you're sick or you're not feeling well or you're
dehydrated or everything else? But then from the where it's
really the the money's at is theprofessional level, right or

(25:08):
athletes, right? Because that's where you know,
we know these contracts are so expensive And now with the NIL,
it's like the college players and the pre high school players
and everyone else is making a bunch of cash.
So you know, we got to keep themhealthy, right?
You know, like the, the, the player has the investment right,
'cause now it's really nice too,'cause it's not just the schools
looking at your best best interests, it's the player.

(25:30):
They're like, I want to stay healthy, 'cause I've got a $5
million contract and I'm a freshman in high school or a
freshman in college. So yeah, I mean, we want the,
the wearable devices is huge. And then there's like there's
different things like personalized rehab program,
right? Like so, you know, I tell it,
you tell the patient tells it what surgery it had and then it
uses like the best doctors around the country it it somehow
finds them and then puts together APT protocol for you

(25:52):
and then it can make adjustmentsas needed, right.
So that's really good. And like the real time feedback
too, right? Like you're doing something like
this hurts and the knee and it can adapt there.
Now we're not there yet. Because again, the problem with
all of this stuff is it's super sexy, but in the in non
professional or college sports, it's very hard to do this
because it's expensive, right? So insurance and so there's, so

(26:14):
there's there's we have rehab machines like we've talked about
the Rebliss other things we can do remote monitoring insurance
does not pay very much for that.It's a very, very low
reimbursement cost. So if you have a machine that's
designed, not saying that that machine particularly, but if you
have machined and they're like, it's $1000 for that machine
program, right? Or 500 bucks or something like

(26:37):
the insurance will pay like $35.And so like there's just no way
that with insurance that these these fancy devices are going to
be paid for because you need to show that they're a huge
difference. And even at that, we all know.
I mean, I hate to say I don't want to go off on insurance
companies on this thing, but like, look at the news.
Less care is more for them. So why would they pay for

(26:57):
something that's not going to behugely beneficial unless there's
a huge uproar. But rehab is like, this is, is
amazing and it's so important for patients, but I feel like
it's really neglected. It's very neglected by the
insurance companies, this personalized idea like that,
that's not the way we're going with insurance.
And so there may be an uproar, but patients are willing to do

(27:20):
pay for which I think is reasonable.
And I, I think that's, that's, that's unfortunate the way we
have to go. Yeah, it was interesting when,
you know, we first started talking about the show and, you
know, we we kind of went back and forth and I sent you some
stuff on the smart install system and there's a bunch of
companies that are using that, you know, and they talk about

(27:40):
injury prevention and, you know,subtle movements, you know,
symmetries and compensations and, you know, real world data
collection. I my long winded version of
getting to a point of the more companies that come out with AI
tech, whether it's, you know, smart insole systems or wearable
shorts and shirts. We, I believe Gabriel Landstock

(28:02):
with which we talked about with the hockey player that had the
injury, he was wearing that techalso so his doctors can monitor
him. And hopefully we get a chance to
talk to Doctor Cole and we can have this conversation again
when it comes to smart tech and how that's being utilized for
rehab. As companies develop and there's

(28:24):
more of them that are hitting the market, Hopefully the price
drives down and not so much athletes that will have access
to this. But you know, mom and pop and
you know, Joe and Jill can also now maybe afford this and we see
it it uptick in the rehab and monitoring and what that's going

(28:45):
to be like. So to me, that's exciting.
What are your thoughts on that excitement level and where AI
can advance the future when it comes to rehabbing and being
beneficial to your patients? Yeah.
I mean, I think when the when the we keep that slide
originally implementation costs.So when the implementation costs
come down, then it's either affordable for the patients or

(29:07):
the doctor's office or which actually is going to be more
important is the rehab office. We already talked about this.
So perfect example, Dylan, newcomer, physical therapy for
players, right? They do some insurance and some
cash options. So the cash options are
obviously the Super fancy stuff you saw, and there's just no way
insurance would cover that level.
And that's OK though, because that's the players usually, and

(29:29):
people want to pay for it because they want extra.
That's the way that works in theUnited States.
And that's just the way it is here, unfortunately or
fortunately, whatever you want to say, But that when that gets
cheaper, then more people want to be involved and more people
are not left out, right? But like.
Healthcare is also really expensive.
Like if you don't have insurance, right, and you just

(29:49):
pay per meal, most healthy people actually save money not
having healthcare insurance. It's horrible to say that.
But like when your premiums are $10,000 a year or $15,000 a
year, there's no way a young person's going to spend that
much on healthcare unless they have a major accident.
So like these patients, and a lot of them work for high level
companies where they're paying very little for their
healthcare. So they're, they have extra

(30:11):
expenditures they want to put towards other things.
I mean, we've seen these, these nutrition, we've seen these guys
that, you know, live forever type of situations, the
longevity thing, It's all about that.
Well, this AI is going to help people get back better.
And this, this rehab monitoring,this the kinematic analysis is
the pre. But like, can we reduce, you
know, there's a, there's a machine learning for these

(30:32):
athletes to find out who's higher risk.
I mean, I had two patients todayor two patients today and a few
this week. The moms came up to me.
Obviously there's a there's a kid in there with an ACL there
and they need surgery. One of them and I actually the
tore the other knee. I did surgery on one and the
tore the other one. It's very, very frustrating and
sad to see that. And they asked, is there
anything we can do? And the answer is, yeah, you can

(30:53):
do all these different things. We can try to do it.
It can try to reduce it. We know females that are higher
risk, but really like, can we, do, you know, can we have a can
like the high school or you know, the high school coach have
this kinematic analysis at the beginning of the year for every
kid, especially girls and females in soccer.
And then say, OK, these three girls are at higher risk because
of their kinematic analysis and or they're at higher risk of ACL

(31:15):
pairs. And then from that, say pick
those three girls and say, hey, this and you need to work on
this, this and this to try to reduce it.
I think we can get it down, but it's just something they have to
be continuing to work on. Yeah.
And, and I think you brought up a important part of it, cost.
I mean, you know, we know how high school sports are and we
know certain programs are going to be able to afford certain

(31:38):
things. And you have other programs that
can barely get cleats for kids. So that that plays a big part.
So hopefully, as you know, the market gets flooded and there's
a more affordable available options for them.
You know, any concerns or have you heard any, any feedback from
patients that talk about, well, I'm concerned about privacy.

(32:01):
I personally think it's kind of,it doesn't make any sense to me
since I feel like they have all our information anyway.
If you have a computer, you havea, you have a smartphone and
stuff anyway. But have you had any of that
feedback from from patients or peers when it comes to AI and
that data information that's being shared?

(32:21):
I haven't maybe at this podcast we will and they brought it up.
I haven't, I think, well, I mean, it's, I think it's good.
My patients trust me that I'm doing the right stuff and making
sure that I'm implementing a tool in the office or post
surgical or pre surgical, that I've vetted it, It's HIPAA
compliant, but I haven't come up.
But again, you know, this is thesame people that like these are

(32:44):
generally younger patients. They're on Facebook every day or
Instagram getting all of their data tracked and all of a sudden
like they move to, you know, it's like I, I think we've all
become kind of mute to it. There's certain people that are
like, you know, they'll do whatever it takes and not have
their data. They want privacy, privacy,
privacy. But to be honest with you, I
think we're so inundated with itand so involved in our lives

(33:05):
that we kind of just gave up ourprivacy, which is sad.
My daily spam just becomes, you know, delete, report junk and
move on like it's just it's. I mean, medical stuff is.
Scared of people? A lot more private than like OK,
knowing that I like to watch cooking channel videos, but you
know, nonetheless it's I think people people are there.

(33:26):
People are more open nowadays too, which is good and bad,
right? You know, like how many times I
got to I work on this myself. I'm not good at this, but a lot
of these people, you know, I seelike these high level
celebrities are like I just had a massive surgery.
Wish me luck. You know, like I I tore like
everything in my knee. I'm going to get surgery.
I got you know, I hadn't recovering from cancer.
Look at me right, it's all great.
It's awesome, but like there's people don't the privacy thing

(33:48):
is kind of gone nowadays. I feel like I feel like it's
obviously like if you're these influencers, right, they get
hurt and they use it as like thenext step to get up to whatever.
I don't think it's obviously like I a bad thing that they're
telling all. I think it's really great that
they have the guts to go over there and talk about all their
medical conditions and feel really good because not all of
us do that. But I think or lay out all their

(34:09):
laundry and their family and things like that.
But the same point it's I don't,I don't think it's a different
day and age, right? People used to be a lot more
conservative. They used to be a lot more quiet
about their stuff. I mean, I've seen like 9
surgeons speeds where they're just like they're literally in
bed like about to die and they're like, look at me, I'm
about to get surgery and they'relike they're like an they it's,
it's just, it's just interesting.

(34:30):
It's totally different than whatthey used.
To do yeah. I'm more concerned about the
cooking shows. Let's go back to the cooking
shows that you're apparently watching that what?
What's your go to cooking show here?
This is that guys roast. No, Wayne.
'S I'm gonna give a shout out. This is my new cooking thing.
My partner, Doctor Wayne Weil, Seattle hand doc, is a TikTok
monster for cooking. And he and his wife, he has a

(34:54):
cool kitchen set up where he hasthe like he has like the, the
kitchen on the island. So you can put a phone right in
front of it. Like they're, that's really hard
to get. Like my kitchen doesn't have
like that. And like it's very hard.
And he and his wife Nancy, they do it in Fast forward and they
cook and they have so many followers.
It's so funny too, because it's linked to his account for
orthopaedics. So he has like no orthopaedics

(35:15):
on there. He just eats and makes food and
he is killing it. It is awesome.
So we were going to have them onhopefully in the summer or a
little bit later to talk about this cooking experience.
So that's the only really cooking thing I watch.
But I think because I'm friends with them and because I look at
it, I think I get other cooking stuff that I'm not interested
in. So, you know, I'm a big fitness
man. I have like the craziest

(35:37):
workouts ever showing up on my stream and that is like the
number one thing. It's travel, crazy travel stuff.
And the workouts like workout like exercises, there's like
there's no humanly way I could do that.
Like I'm going to RIP every partof my body.
Apart. Yeah, yeah, yeah, every.
Once in a while I get when I'm like, I'm going to try that. 10
man doctor Weil, by the way, back surgery surgeon.

(35:59):
Oh, but TikTok influencer first and foremost.
That's hysterical. That's hysterical.
Real quick. I like I said, we we kind of go
off the sidetrack, man. What's the what's the go to
workout right now? What what's the one that you're
like? This is my go to.
I'm loving it. I know, I know we talked about
this before. You like to hit workout right?

(36:20):
Your big travel guy. Your itinerary is you.
I don't you should be posting itinerary.
We had this conversation last time.
You haven't done it yet. I know I'm not ready to crack
yet. Let's throw it on
sports.talk.com. We're going to drive all the
travellers there and then they'll by the way, they'll see
the shows as well. But what's the what's the
workout right now that you're loving I.

(36:43):
Mean I just, I'm all about to hit right?
Like high intensity burpees, boxjumps, you know, but again, I
don't want to get hurt now because I unfortunately have to
take care of all those people that are my age doing hit and
like coming in with like the meniscus tear or the ACL tear,
whatever. I mean, the CrossFit injury

(37:03):
rates like 78%, right? Like Crossfit's great for ortho,
not good for the body. Everyone who does it, they all
look incredible, but it's, it's,it's a, it's a scary thing.
But I mean, I just, for me, it'sjust routine.
It's just continue to do it day in and day out and a little bit
addicted to it. So obviously that's a but it's a
good thing. It keeps me sane and hopefully

(37:26):
it keeps me. The thing is, you got I think we
should bring this up. It's actually we should have
this talk, right? This is like surgery is a little
bit like athletics, like my surgery days are so much like
pumping, pulling, pushing stuff that like a lot the injury rate
orthopedics is probably one of the highest of any of the
surgeries, right? Like, so I'm leaning back,

(37:48):
cranking my back, turning it sideways, lifting a £250
patient, lifting a high level athlete, like 6-7 leg, right?
Like I'm doing that during the surgery, right?
Like there's assistance, but I'mdoing it.
When I was injured, it was a nightmare because it's so hard
to do. So like I've had to stay fit as
possible, right? And you get exhausted.
I mean, there's some older surgeons that you can hear them

(38:10):
like literally like huffing and puffing during the procedures.
And we're standing the whole time running around full speed.
And also that's not to mention the stress level of actually
taking care of the person under anesthesia and doing the
complicated procedure. So most ortho surgeons, they
make a joke because the orthos are always like gym jocks,
right? They're in the gym, they're
working out. Like that's the medicine

(38:30):
stereotype of orthopedics. But this, the part of it is you
actually need to be that fit to be able to do the surgeries
effectively because it's becauseof the grind you're doing all
the time for the most part. So like, I love.
This we've been able. To protect it, you know.
I think we're all to a new Spartan Race.
This is like orthopedic surgeon Spartan Race.

(38:52):
You jump over the the operating table, you know, you do a couple
burpees, you jump in. I've actually been caught.
I've been caught. I've been caught in the
operating room once. I fell over because someone had
someone had. I took the steps to the sitting
stool away from you. When I sat down and didn't see
it and my tech grabbed me and caught me.
It was the most incredible thingI've ever had.

(39:12):
It was, it was weird for like 10seconds, but then it worked out.
It was great. But we have.
A this is the new, the new race.We're we're going to be on ESPN
the Ocho with this new obstacle course right next.
To the the squirrel in the water, the the in the little
water skis. Dude.

(39:33):
Let's let's digress back in. So let's go.
So we talked a little bit about sports, right?
And then for joints, you have these patient specific
instrumentation. So you have patient comes in,
they get it, the robotic machineand the machine calculates it
and says this is exactly what you need.
Now obviously the problem here is that like patient specific is
more expensive. So we need to find a way to get

(39:54):
that cost down. Can they 3D print those for the
same price as a regular implant,right?
And we'll get there eventually. Robotic surgery, this is the,
this is the number one thing people want to talk about
robotic surgeries. They're worried that like you
get a robot done, it does your surgery.
There's no actual surgeon there,right?
No, the way it works is, again, there's these rare cases and

(40:16):
there's some of the general surgeries that are robotics and
they've heard about remote surgeries for like a good
surgeon that does the surgery inlike another country.
And they do it for people with underserved or whatever that's
there, but we're not there yet. But like in joint replacement,
there's robots that help guide the surgeon, either newer
surgeons, which is you always want to have obviously the
highest level of skill when you're doing this, but also

(40:37):
helps with alignment and things.There's certain things just hard
to calculate on the fly, right? Like you can do everything you
want there, but when you get in there, it's never always the
same, right? Like as soon as you always say,
you know, you ask the mechanic, like what are you going to do in
my car? They're like, well, I think I'm
going to do this, this, this, but we'll figure it out when we
get in there, right? Like there is some things you
have to figure out when you're in there and you can't
anticipate. That's why our job is what it
is. And that's why our job is a
little bit stressful because I'll go into, you know, I did, I

(41:01):
did 15 or 12 surgeries last weekand 10 of them were exactly what
I thought they were going to be.And two threw me a curveball
regardless of preparation. And two of them were the same
surgery they'd done the same week.
So you just never know. You've got to be prepared.
And so this robotic surgery is going to help to hopefully
eliminate some of that and take away the stress.

(41:22):
But also it's a stress factor, right?
Like let's say you're doing a replacement and all of a sudden
you start doing it and you're like, you just like you, can't
you? You've had a really rough day,
right? You're doing your best, but
you're tired, right? It's the end of the day, your
last surgery. And no matter who you are,
you're a little gassed, right? So you're trying to get your
best to do the surgery, right? And you're having trouble

(41:42):
calculating. You can't get the exact thing to
fit, right? But we're all normal human
humans, right? And we have to deal with a lot
of stress. So the more frustrated you get,
the less you start thinking, right?
It's not like you're going to have an error during the
surgery, but it's going to take you a little longer than it
should. So having these robots to be
like, listen, I have no emotion.I'm going to calculate this for
you. You're, I can't get tired
because I'm a robot. So they're going to be like, OK,

(42:04):
it's 13.4°. And I'm like, oh, thanks.
I don't have to do that math. And they're like, you know what,
this is not working. When I put the two implants in,
it feels tighter. And you're like, you know,
you're kind of already gassed from the day and it's like, OK,
drop it down 1.25°. OK, so you can go do that.
So that's what I'm talking about.
So like a sensor or these robotic things.
Where do you put the, where do you put it?

(42:25):
Yeah. So it, it, it can do those
things like we have monitors with the pictures up there, so I
can calculate in my head. But this robot will be like, no,
move your hand to the right a little bit.
Move your hand to the left for the really precise part, right.
But then of course, you know, ifthe robot's reaming and
something starts bleeding, the robot's not going to know what
to do, right? So you do all that.
That's then the surgeon steps in.
So it's an assistant to help himand also makes your job a lot

(42:48):
less stressful, right, If you have it.
I do a lot of planning ahead of time for some of my big
surgeries because it makes it way less stressful or it's a lot
faster, right? Like because I don't have to
these patient specific instrumentation that I use for
my osteotomies. It's cut down like 25 minutes on
my surgery. So I put it on there.
I throw the pins in, I check it if it looks good, I'm done.

(43:09):
Like it's already been done for me.
All the hard, all the like, OK, check X-ray, check less
radiation, all that's done. And so now we, you can get a
surgery in half the time, which means less anaesthesia, it means
less blood loss. Everything's better for the
patient, right, as long as it's being used more.
And then for, you know, obviously you can do more

(43:30):
surgeries and all those other things are important.
But the surgeons also less stress, which makes your whole
surgery go better. I mean, it's, it's a win win for
everybody. I think the number one thing is
getting cost. I like this.
I could see it in my head. So you, you kind of put on this
maybe even a helmet or like these meta goggles with a
microphone and say I'm now cutting this part and I'm doing

(43:51):
this and it's talking to you as well.
It's like, don't you know it's 1.2mm and this is that.
And then you're talking, you're talking through it.
So everyone in the operating room can hear, but also the AI
is hearing and is reminding you of the steps.
And then you're having this imaging, but the goggles to see
what you're viewing and assisting you along the way.

(44:13):
Yeah, You know what's that? What was that movie with
Jennifer Lopez just came, It waslike maybe a year old down the
Avatar movie where you were likethey were in the machine and the
machine synced with you. It's like the neural link.
Like that's kind of like that's kind of the future where we're
going with this, right? Like you'll come in like there's
already a there's a new company that's coming out, has AC.
It can guide where you put your ACL tunnels.
So it's for, it's for complex surgeries are we talking?

(44:36):
Five years, 10 years, 2 years, Imean AI avatar.
Thing we're probably year, we'rea lot longer away from that,
but. No, but I mean something that
kind of like that, that first prototype saying this is the
first one like this one's been approved and you're kind of
going through it as an advanced.I mean, we have, we have like we
have, we have something that's similar to it.

(44:57):
So we're getting there again, it's just cost, man.
It's super expensive to get this.
And then you got to get it FDA approved and then you got to get
surgeons to buy on. And then you need to have these,
you know, you have all these hospital systems that are
cutting costs, right? They don't want to pay.
You know, these spine surgeries,they're very expensive, right?
They, they're good revenue streams.
So they're very expensive. We know this.

(45:18):
So these robotic navigation machines, they're extreme, like
multiple millions of dollars, right?
And so some hospitals don't wantto pay for it.
So they're like, no, you can't have it.
So the patient doesn't get it. They've got to go find someone
that's willing to do it. You know, for small surgery
centers, we have a robot becausewe have multiple surgeons that
do the same thing. But it's all part of a cost
negotiation with these companies.

(45:39):
So it's a that the cost is actually unfortunately is the
number one hindrance for this. But as we've already seen with
technology, right, like flat screen TV's were thousands of
dollars years ago. Now it's like dirt cheap like
like. If I have ATV and it breaks,
I'm. Just like I'm just going to buy
I'm just going to buy a new one,right, Like it doesn't matter
like it's not they're not very expensive.

(45:59):
So there it's. Just power.
Cool. But you remember how.
HDMITVI had a HDMITV weighed 200lbs.
Like it was ridiculous. And it was the newer 1, you
know, for the time. And I was just praying that it
wouldn't fall over and crush my child because it was so heavy.
And now these things are 90 inches and they weigh 6 lbs.

(46:22):
It's absolutely unbelievable. So, so let's go, let's go to, I
mean, we can talk about the radiology, but let's go to like
people were asking, you asked mebefore, like in my, in my
office, how do I, how would you notice it?
So I think there's different things, right?
There's there's work. So there's so there's bigger
hospitals. I don't work in a hospital.
Mostly I consult for hospitals, but I don't work in the hospital

(46:42):
directly. If you come to my practice, it's
private practice, very niche. But if you work in a hospital,
there's obviously the prioritizeof intermodal bindings, right?
Like you come to the ER, everyone screams that everything
hurts, right? Like if you go to if you've ever
been to an ER and hopefully you haven't, but if you have.
Unfortunately, you'll. Know that like everybody looks
like most people look like they have an emergency, right?

(47:03):
But not all of them actually have an urgency.
So can AI come in there and scanthem and say, OK, you're having
a heart attack. You're first, your your your leg
is like you have like a bruise. You're going to wait, right?
Like your liver is shutting down.
You need to go to the front right now.
You're hoping the front desk person thinks you're nice and
puts you higher on the urgent care.
Yeah, yeah, yeah, right. So that's one thing.

(47:26):
And then workflow, that would behuge.
That would be huge. And I'm sure it's coming the way
and maybe I gave someone some idea and and hopefully I'll get
some royalties from that, but who knows.
Yeah, because you, you have, youhave patients that that cry wolf
and then you have other patientsgo now I'm fine and sit down and
they're literally dying. So that that's great.
And that's in my office too. I mean that pops in there like

(47:47):
and I have that now because I have a lot of my physician
assistants will see my patients first.
So they're essentially triaging the situation.
But before, when I didn't have that, when I was newer, but you
know, I'd have three patients and I'd have two patients.
One patient, you know, would have nothing wrong with them.
It's not their fault. Tons of pain, you couldn't
figure anything out. Everything was negative.
And they're upset with you because you can't find it,

(48:08):
right? That patient would spend, you
know, 45 minutes with me either unfortunately arguing sometimes
or telling me I don't know what I'm talking about if I can't
find it, right. They've seen 10 doctors and I'm
the one that's supposed to figure it out.
I can't figure it out. So that that happens.
Thankfully, it's not that often,but that patient unfortunately
wasted 45 minutes of resources and now the next patient who I
get to is upset because I'm 45 minutes behind, which they're

(48:31):
not seeing. And then they have a bad
experience or two or three have a bad experience.
And now like it's more than justthat.
It's like, or I'm flustered and maybe the next patient I got to
reset my mind, right? And I maybe missed something
with the next one. Again, that's this thing doesn't
happen that often, but it's something to be aware of.
So like, if you can keep your, if you can keep the high

(48:53):
functioning situation decrease, it's always about decreasing
stress, right? Like every doctor's show, every
doctor's channel, there's such high burnout, there's high
suicide rates. These are scary things to talk
about. But why are they like that?
Because they're doing activitiesthey don't need to be doing.
They're they're filling paperwork out.
They're they're the ones prioritizing the patients.
What happens if your machine didthat for you?

(49:14):
And they're like, OK, now I've done like I've done like 20
hours of work for you. So now you're 80 hour work week
is 60. All right, Like today I've got
my new workflow where I see patients that really need
surgery. I see 20% less patients just
like Denard was talking about. But my patients get more time

(49:34):
with me. And so the review, I don't get
reviews like I've been waiting. He was late, you know, today I
was a little late in the beginning.
I apologize to those patients for your listening.
But for the most part, I stay ontime.
I stay on time and every patienthas me sit down and usually the
patients are like looking at their clock because they're done
talking to me, right? Like, so that's good.
So the, the goal here is that like everybody's getting more of

(49:55):
what they want and the frivolousstuff is gone.
And I'm less stressed because I actually normally am full speed
ahead on everything I do. And now in the OR it's more
efficient. I'm more efficient with workflow
in the office and with AI, it's going to make it better.
Like AI notes, right? Like the notes are great, but
like half the time the note justrepeats everything you just
talked about. So like there's AI programs on

(50:16):
your watch that I can walk in and it'll come out and have a
note done for me and then it will document and then I can add
a little bit of stuff to it and make sure it works.
And so like, that's amazing. Like wouldn't it be awesome if
your doctor, most doctors said they spend like 75%.
Now how many surgeons? So it's different, but most
doctors send, they send like like 70% or something of their
time doing paperwork and non doctor stuff.

(50:37):
And surgeons, we have a lot of time.
We sit around in the operating room waiting for the next
surgery to come. But women's if we had like
robotic cleanup so they could clean the OR faster so that we
can all be ready and get all your surgeries done and you're
not wasting your time either. And and and you're not as gassed
at the end of the day because you're done at 2 instead of done
at 5, right. There's all these other things
that we're not even at the pointyet where we're trying to talk

(50:57):
about limiting the surgeon or any of the staff members, but
making an I mean, it's an experience for the patients.
If they like call, they got someone on the phone right in.
It was AI. It plugged me into my office
visit in the offices that saw you were like, Hey, not a
surgical patient, but we're still going to treat you.
You can go see this person and then so far you've just been a
eyed in, but you've gotten this all done.
I can tell you right now if you pulled all the patients and I

(51:18):
said if you like most time now in Seattle, unfortunately and
will you may or may not know this.
If you want to have a provider outside of like an orthopedic
surgeon at one of the one of theproliances, you're going to wait
like 6 months to see a doctor unless it's an emergency, right?
So it's like 5-6 months. But once I told you you could
see someone in like a you could get, you could pick up the
phone, call them, it would take you 2 minutes, you'd be hooked

(51:41):
up. You could see someone you could
maybe even talk to AI purse thing that would kind of triage
you and like if you're really pissed off and you can like
override it, but maybe you couldbe like, maybe that'd be enough
for you to be like, OK, let's ping you and get you into
somebody else. Or it can sense the tone of your
voice. It can sense all these things
and it can say this one sounds urgent.
I should get them in right? Like that stuff that you doctor

(52:02):
never is going to get a chance to do.
But now your doctor's seeing allthe stuff that's important or
not seeing patients that are pissed off because they've
waited six months to see you, right.
So like there there are so many aspects of this that are good
for the patients that don't require you not getting to see a
doctor. Yeah, You know, and it's going
back to some of the things that I'm privileged to kind of work

(52:22):
with is you're, you're talking about creating a correct agent
and also learning what the correct prompt is and putting
those things together to have these diagnosis that hopefully
will confirm conform to, to the needs of the patient.

(52:44):
And, you know, hit the the warning signs for the doctor
saying, hey, we've got to get these patients in.
I think, I think the last, the thing I'll keep bringing up is
AI. This is a good summary.
AI is going to make healthcare hopefully faster.
It's going to make it more efficient.
It's hopefully going to make it more cost confused because
you're not missing things and it's going to make it way better

(53:08):
experience for the patients because like they're going to
get their MRI done and like you have a IMRI machine, so it's
faster calculating things, right?
Like the new MRI machine we're looking at, it's got AI built
into it. So it can do like double the
scans of the day, right? So now you get, you signed up
for an MRI and you, you would get your MRI in one day rather
than waiting three months. And it's interpreted faster

(53:29):
because it's got AI and then it's pinned to the radiologist
that no longer has to look at like basic boring Mr. is it's
got the ping. So like this one you should look
at. So then the radiologist reviews
the the big ones and then that'schecked off and now the
radiologist is less stressed so he can do it.
And all of a sudden now you're like, OK, you've got all this
stuff, you've got an ACL tear orwhatever, you got something
going on. So now we're going to ping you
to the orthopedic surgeon. We're not going to send it to a

(53:51):
person to do it. We're going to ping it right to
the orthopedic surgeon's office and actually schedule you like
you would be in like, I think that any, any American and a non
American but American using the healthcare system would be
absolutely elated to have that experience.
So I and I think that you'll find that it'll miss less things
because like I said before, if we can remove all the frivolous

(54:14):
stuff for our surgeons, doctors,they're going to be so much
better at their jobs. And so I think that's what we're
going to see is that you're going to see better healthcare
for the patients. But I guess that's just my
opinion. So we'll see.
It sounds like an episode that we will eventually update and.
Why it was so wrong and where wewent wrong?

(54:37):
No, I think there's some great ideas and especially it's a it's
a great understanding of how we're utilizing AI.
Really, this is the infantile stages of where we are with this
technology as we, you know that our next, you know, industrial
revolution that's happening right before our eyes.
So it's a very exciting time andwe'll see how it all shapes out.

(55:01):
Doctor Garcia, congratulations on top Dr. once again.
That is 1 distinction that AI cannot take away because you're
doing it the right way. So I, I just wanted to shout you
out and I know you've got some sun tanning to do, so we're
going to go. Ready to go.
Got your sunblock ready? I do well, the Brazilian skin

(55:22):
helps a little bit, so I don't need too much on there.
No, baby, all right, enough of that.
Go do your hit and go enjoy yourself.
Thanks for listening to Sports Doc talk.
We always want to hear from you.Please check out our website
sportsdoctalk.com. We've got shows, we've got great
information. We've got links, we've got
transcripts. I don't know what else Doctor

(55:43):
Garcia, we what else are we missing from that we.
Got social media, We got awesomeguests.
I mean, honestly, this is one ofour first big topic shows in
like a few months because we've had so many good guests and we
have so many more coming if you're listening.
We got a line up. Hangers is a guest.
We love to have the guests on. We have some really good ones
coming up and we're not going tolet it out, but we have some

(56:05):
good ones coming up. That's all I'm going to say.
And the hot topics have been good.
This is the first big topic one in a while, Will, this is
awesome because we just thought it was time, you guys.
But again, there's a lot of goodguests coming up.
So stay in tune. Social media, you name it and
check us out. Yeah, we appreciate the viewers,
the listeners and all the support.
We hope to continue to provide information.

(56:27):
But as you said, we've got we'vegot a line up that's coming up
in 2025 that's sure to be entertaining.
Dr. Garcia, say goodbye. Bye, guys.

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