Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
All right, buckle up everyone, because today we are diving
deep into some seriously cool stuff. We're talking about artificial
intelligence AI and how it's shaking up the world of healthcare.
Speaker 2 (00:11):
Oh yeah, this is going to be a fascinating one seriously.
Speaker 1 (00:14):
Right from what you've all sent in, it looks like
you're really interested in how AI can you know, like
revolutionize medicine, but also the challenges that come along with it.
Speaker 2 (00:23):
Absolutely, and there are some big ethical questions we'll definitely
need to explore a little.
Speaker 1 (00:28):
Later for sure. But first I think we need to
get a handle on just how powerful this technology is.
And let me tell you some of the research you
sent over had my jaw on the floor.
Speaker 2 (00:38):
I know. Some of this stuff feels straight out of
science fiction.
Speaker 1 (00:42):
I know, right, Like AI analyzing medical images. It's not
just reading X rays and MRIs anymore. It's like exceeding
human capabilities in some cases.
Speaker 2 (00:50):
It's really incredible.
Speaker 1 (00:51):
So like, how is that even possible? I mean, how
can a machine be better at diagnosing than you know,
an actual doctor.
Speaker 2 (00:58):
Well, it all comes down to how these AI systems,
these machine learning algorithms are trained. They're fed massive amounts
of data, like thousands and thousands, even millions of medical images.
Speaker 1 (01:11):
Oh wow.
Speaker 2 (01:11):
Yeah, and by analyzing all those images, they learn to
recognize incredibly subtle patterns, things that honestly, even the most
experienced radiologist might miss.
Speaker 1 (01:21):
So it's like having i don't know, like a superhuman
second opinion on every single image.
Speaker 2 (01:26):
That's a great way to put it. And think about
the implications for say, cancer detection. AI can spot tiny
clusters of calcium in mammograms, these microclcifications that could be
an early sign of breast cancer.
Speaker 1 (01:38):
That's incredible. So we're talking about catching things much earlier
than we ever could before exactly.
Speaker 2 (01:42):
And we all know early detection is absolutely key when
it comes to treating so many diseases.
Speaker 1 (01:47):
No doubt, that's huge. But it's not just about images. Right.
You sent some research about AI being used to create
personalized treatment plans.
Speaker 2 (01:54):
Right, AI is being used to analyze tons of data
to tailor treatments to individual patients.
Speaker 1 (02:00):
Okay, so walk me through this. What does that actually
look like like in practice?
Speaker 2 (02:04):
Okay? Imagine this. AI takes your genetic information, your medical history,
your lifestyle, even data from your wearable tech if you
use it, and it uses all that to build a
treatment plan that's designed specifically for you, like.
Speaker 1 (02:19):
A custom made medical plan. That sounds pretty futuristic, it is.
Speaker 2 (02:23):
But it's happening now. This is what's known as precision medicine,
and the goal is to maximize effectiveness and minimize side.
Speaker 1 (02:30):
Effects, which are both huge issues with traditional medicine.
Speaker 2 (02:33):
Right, one size fits all doesn't really work when it
comes to healthcare, and AI can help us move beyond that.
Speaker 1 (02:40):
I see what you mean, But how does AI actually
process all that data to make those recommendations. I mean,
it's a lot of information to sift through.
Speaker 2 (02:47):
Yeah, it's way too much for a human to really grasp.
But these algorithms can find complex relationships and patterns in
data that we'd never be able to see. Interesting. They
can predict with a pretty good degree of accuracy how
your body will respond to certain medications or therapies based
on your unique profile like your DNA, and so it's
really remarkable. This technology could revolutionize how we treat all
(03:10):
sorts of conditions cancer, heart disease, even mental health conditions,
which honestly.
Speaker 1 (03:15):
Is something we really need. New breakthroughs in mental.
Speaker 2 (03:18):
Health absolutely now another area where AI is making waves
And this is something I know you were curious about,
is drug development.
Speaker 1 (03:26):
Yeah, I mean, anyone who's ever waited for a new
treatment to be approved knows that the process can take forever, years,
even decades, right, Yeah, not to mention how much it
all costs.
Speaker 2 (03:37):
You're exactly right. It's a long and expensive process. But
AI is beginning to change that in some really amazing ways.
Speaker 1 (03:43):
Okay, I'm all ears how well.
Speaker 2 (03:45):
One way is by using AI to sift through mountains
of data, I mean mountains of data on chemical compounds
and biological information to identify promising drug candidates much much faster.
Speaker 1 (03:57):
So AI can kind of point researchers in the right
direction from the start. That's amazing exactly.
Speaker 2 (04:02):
It cuts down on all that trial and error that
traditionally eats up so much time in the discovery phase.
Speaker 1 (04:07):
But what about the next step, the clinical trials? Those
take a long time too, don't.
Speaker 2 (04:11):
They They absolutely do. But AI can even help us
speed up that process.
Speaker 1 (04:16):
Wait, really, yep, think about it.
Speaker 2 (04:18):
AI can simulate clinical trials using virtual patient populations.
Speaker 1 (04:23):
WHOA, So they're like testing things out into virtual world
before they even get to real people.
Speaker 2 (04:28):
Exactly. That means researchers can start to understand the effectiveness
and safety of a drug before they even begin human trials.
Speaker 1 (04:37):
Okay, that's a game changer. That could mean getting life
saving treatments to people so much faster.
Speaker 2 (04:42):
And potentially for a lot less money too, because those
clinical trials are expensive, that's true.
Speaker 1 (04:47):
So AI is speeding things up and saving money. This
is amazing. But you know, we've talked a lot about
the impact on doctors and scientists, but what about the
average person. How does AI actually change the patient experience?
Speaker 2 (04:59):
Well, for star orders, think about all the hassles that
come with navigating the healthcare system, like scheduling appointments and
trying to get your questions answered. AI can help streamline
all of that.
Speaker 1 (05:10):
Okay, yeah, that's something I think we can all relate to.
Speaker 2 (05:12):
Right, Like, imagine having an AI powered virtual assistant that
can answer your basic medical questions, schedule your appointments, even
remind you to take your medications.
Speaker 1 (05:23):
No more waiting on hold forever just to talk to
a receptionist. I like the sound of that.
Speaker 2 (05:27):
And it can be available twenty four to seven, personalized
support whenever you need it.
Speaker 1 (05:31):
That would be a game changer.
Speaker 2 (05:32):
And on a larger scale, AI can help hospitals use
their resources more effectively through something called predictive analytics.
Speaker 1 (05:40):
Predictive analytics, that sounds interesting. What's that all about?
Speaker 2 (05:43):
Well, it's basically using data to anticipate future needs. So,
for example, a hospital could use AI to predict, say,
a flu outbreak.
Speaker 1 (05:52):
Like a crystal ball for the flu season.
Speaker 2 (05:54):
I love it kind of Yeah. By analyzing data from
all sources of places like search engine trends, the patterns,
even social media posts, AI can warn a hospital that
a flu outbreak is likely on the way.
Speaker 1 (06:06):
That's pretty cool. So they can be prepared, right, make
sure they have enough staff and beds ready exactly.
Speaker 2 (06:11):
It's all about being proactive instead of reactive.
Speaker 1 (06:13):
Wow. You know, this deep dive has been eye opening,
but I feel like we've only just scratched the surface
of what AI can do in healthcare.
Speaker 2 (06:22):
I agree, it really is just the beginning.
Speaker 1 (06:25):
It's both incredibly exciting and I don't know, a little
bit overwhelming, to be honest. Where do we go from here?
Speaker 2 (06:31):
Well? I think the main takeaway is that AI has
the potential to absolutely revolutionize healthcare in countless ways. From
diagnosing diseases earlier to developing those life saving drugs faster,
to even just making the healthcare system easier to navigate
for all of us.
Speaker 1 (06:47):
Yeah, it's all about empowering both doctors and patients exactly.
So to everyone listening out there, here's something to think about.
As AI becomes more and more integrated into healthcare, what
role do you want to play in shaping this future.
It's a conversation we all need to be a part of.
Speaker 2 (07:03):
We can't just sit back and let it happen. We
need to be informed and engaged.
Speaker 1 (07:07):
Absolutely. Until next time, keep those brains buzzing and keep exploring.
Speaker 2 (07:11):
We'll see you next time.
All right, buckle up everyone, because today we are diving
deep into some seriously cool stuff. We're talking about artificial
intelligence AI and how it's shaking up the world of healthcare.
Speaker 2 (00:11):
Oh yeah, this is going to be a fascinating one seriously.
Speaker 1 (00:14):
Right from what you've all sent in, it looks like
you're really interested in how AI can you know, like
revolutionize medicine, but also the challenges that come along with it.
Speaker 2 (00:23):
Absolutely, and there are some big ethical questions we'll definitely
need to explore a little.
Speaker 1 (00:28):
Later for sure. But first I think we need to
get a handle on just how powerful this technology is.
And let me tell you some of the research you
sent over had my jaw on the floor.
Speaker 2 (00:38):
I know. Some of this stuff feels straight out of
science fiction.
Speaker 1 (00:42):
I know, right, Like AI analyzing medical images. It's not
just reading X rays and MRIs anymore. It's like exceeding
human capabilities in some cases.
Speaker 2 (00:50):
It's really incredible.
Speaker 1 (00:51):
So like, how is that even possible? I mean, how
can a machine be better at diagnosing than you know,
an actual doctor.
Speaker 2 (00:58):
Well, it all comes down to how these AI systems,
these machine learning algorithms are trained. They're fed massive amounts
of data, like thousands and thousands, even millions of medical images.
Speaker 1 (01:11):
Oh wow.
Speaker 2 (01:11):
Yeah, and by analyzing all those images, they learn to
recognize incredibly subtle patterns, things that honestly, even the most
experienced radiologist might miss.
Speaker 1 (01:21):
So it's like having i don't know, like a superhuman
second opinion on every single image.
Speaker 2 (01:26):
That's a great way to put it. And think about
the implications for say, cancer detection. AI can spot tiny
clusters of calcium in mammograms, these microclcifications that could be
an early sign of breast cancer.
Speaker 1 (01:38):
That's incredible. So we're talking about catching things much earlier
than we ever could before exactly.
Speaker 2 (01:42):
And we all know early detection is absolutely key when
it comes to treating so many diseases.
Speaker 1 (01:47):
No doubt, that's huge. But it's not just about images. Right.
You sent some research about AI being used to create
personalized treatment plans.
Speaker 2 (01:54):
Right, AI is being used to analyze tons of data
to tailor treatments to individual patients.
Speaker 1 (02:00):
Okay, so walk me through this. What does that actually
look like like in practice?
Speaker 2 (02:04):
Okay? Imagine this. AI takes your genetic information, your medical history,
your lifestyle, even data from your wearable tech if you
use it, and it uses all that to build a
treatment plan that's designed specifically for you, like.
Speaker 1 (02:19):
A custom made medical plan. That sounds pretty futuristic, it is.
Speaker 2 (02:23):
But it's happening now. This is what's known as precision medicine,
and the goal is to maximize effectiveness and minimize side.
Speaker 1 (02:30):
Effects, which are both huge issues with traditional medicine.
Speaker 2 (02:33):
Right, one size fits all doesn't really work when it
comes to healthcare, and AI can help us move beyond that.
Speaker 1 (02:40):
I see what you mean, But how does AI actually
process all that data to make those recommendations. I mean,
it's a lot of information to sift through.
Speaker 2 (02:47):
Yeah, it's way too much for a human to really grasp.
But these algorithms can find complex relationships and patterns in
data that we'd never be able to see. Interesting. They
can predict with a pretty good degree of accuracy how
your body will respond to certain medications or therapies based
on your unique profile like your DNA, and so it's
really remarkable. This technology could revolutionize how we treat all
(03:10):
sorts of conditions cancer, heart disease, even mental health conditions,
which honestly.
Speaker 1 (03:15):
Is something we really need. New breakthroughs in mental.
Speaker 2 (03:18):
Health absolutely now another area where AI is making waves
And this is something I know you were curious about,
is drug development.
Speaker 1 (03:26):
Yeah, I mean, anyone who's ever waited for a new
treatment to be approved knows that the process can take forever, years,
even decades, right, Yeah, not to mention how much it
all costs.
Speaker 2 (03:37):
You're exactly right. It's a long and expensive process. But
AI is beginning to change that in some really amazing ways.
Speaker 1 (03:43):
Okay, I'm all ears how well.
Speaker 2 (03:45):
One way is by using AI to sift through mountains
of data, I mean mountains of data on chemical compounds
and biological information to identify promising drug candidates much much faster.
Speaker 1 (03:57):
So AI can kind of point researchers in the right
direction from the start. That's amazing exactly.
Speaker 2 (04:02):
It cuts down on all that trial and error that
traditionally eats up so much time in the discovery phase.
Speaker 1 (04:07):
But what about the next step, the clinical trials? Those
take a long time too, don't.
Speaker 2 (04:11):
They They absolutely do. But AI can even help us
speed up that process.
Speaker 1 (04:16):
Wait, really, yep, think about it.
Speaker 2 (04:18):
AI can simulate clinical trials using virtual patient populations.
Speaker 1 (04:23):
WHOA, So they're like testing things out into virtual world
before they even get to real people.
Speaker 2 (04:28):
Exactly. That means researchers can start to understand the effectiveness
and safety of a drug before they even begin human trials.
Speaker 1 (04:37):
Okay, that's a game changer. That could mean getting life
saving treatments to people so much faster.
Speaker 2 (04:42):
And potentially for a lot less money too, because those
clinical trials are expensive, that's true.
Speaker 1 (04:47):
So AI is speeding things up and saving money. This
is amazing. But you know, we've talked a lot about
the impact on doctors and scientists, but what about the
average person. How does AI actually change the patient experience?
Speaker 2 (04:59):
Well, for star orders, think about all the hassles that
come with navigating the healthcare system, like scheduling appointments and
trying to get your questions answered. AI can help streamline
all of that.
Speaker 1 (05:10):
Okay, yeah, that's something I think we can all relate to.
Speaker 2 (05:12):
Right, Like, imagine having an AI powered virtual assistant that
can answer your basic medical questions, schedule your appointments, even
remind you to take your medications.
Speaker 1 (05:23):
No more waiting on hold forever just to talk to
a receptionist. I like the sound of that.
Speaker 2 (05:27):
And it can be available twenty four to seven, personalized
support whenever you need it.
Speaker 1 (05:31):
That would be a game changer.
Speaker 2 (05:32):
And on a larger scale, AI can help hospitals use
their resources more effectively through something called predictive analytics.
Speaker 1 (05:40):
Predictive analytics, that sounds interesting. What's that all about?
Speaker 2 (05:43):
Well, it's basically using data to anticipate future needs. So,
for example, a hospital could use AI to predict, say,
a flu outbreak.
Speaker 1 (05:52):
Like a crystal ball for the flu season.
Speaker 2 (05:54):
I love it kind of Yeah. By analyzing data from
all sources of places like search engine trends, the patterns,
even social media posts, AI can warn a hospital that
a flu outbreak is likely on the way.
Speaker 1 (06:06):
That's pretty cool. So they can be prepared, right, make
sure they have enough staff and beds ready exactly.
Speaker 2 (06:11):
It's all about being proactive instead of reactive.
Speaker 1 (06:13):
Wow. You know, this deep dive has been eye opening,
but I feel like we've only just scratched the surface
of what AI can do in healthcare.
Speaker 2 (06:22):
I agree, it really is just the beginning.
Speaker 1 (06:25):
It's both incredibly exciting and I don't know, a little
bit overwhelming, to be honest. Where do we go from here?
Speaker 2 (06:31):
Well? I think the main takeaway is that AI has
the potential to absolutely revolutionize healthcare in countless ways. From
diagnosing diseases earlier to developing those life saving drugs faster,
to even just making the healthcare system easier to navigate
for all of us.
Speaker 1 (06:47):
Yeah, it's all about empowering both doctors and patients exactly.
So to everyone listening out there, here's something to think about.
As AI becomes more and more integrated into healthcare, what
role do you want to play in shaping this future.
It's a conversation we all need to be a part of.
Speaker 2 (07:03):
We can't just sit back and let it happen. We
need to be informed and engaged.
Speaker 1 (07:07):
Absolutely. Until next time, keep those brains buzzing and keep exploring.
Speaker 2 (07:11):
We'll see you next time.
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