Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
It seems like everywhere you turn these days, there's talk
about AI. Right, but are you ready for AI doctors?
Speaker 2 (00:07):
Well, maybe not doctors exactly, but AI is already starting
to change the game in healthcare and in some pretty
wild ways.
Speaker 1 (00:15):
That's exactly what we're diving into today. We're taking a
look at this study called Exploring AI and Healthcare Revolutionizing Medicine,
and let me tell you, it is fascinating. We're going
to cover everything from diagnoses and treatments to how AI
is being used to develop brand new drunks.
Speaker 2 (00:32):
It's really mind blowing stuff.
Speaker 1 (00:33):
It is. So maybe let's start with something that I
think is just so intriguing the idea of AI being
able to diagnose illnesses.
Speaker 2 (00:41):
Oh. Absolutely, this is one of the most promising areas
where AI is making a huge impact. You know, it
can analyze medical images like X rays and MRIs with
crazy accuracy. In some cases, it's even outperforming human radiologists.
For example, did you know that AI can detect lung
cancer and X rays with something like ninety five percent accuracy?
Speaker 1 (01:01):
It's incredible. It really is like having a second pair
of eyes, but like superpowered eye, and not just lung
cancer either. This study talks about how AI is getting
really good at spotting heart conditions and even neurological disorders,
like way before any symptoms even show.
Speaker 2 (01:16):
Up, right, And that early detection is key, isn't it.
It gives doctors a chance to intervene much earlier, which
can make a huge difference in the outcome for patients.
Speaker 1 (01:25):
It's life saving stuff, really, absolutely, So can you break
it down for us a bit? How does AI actually
do this? Well?
Speaker 2 (01:33):
It all comes down to data, okay. AI algorithms can
sift through massive amounts of data, you know, medical images,
patient histories, lab results, even genetic information. Wow, And it
looks for those subtle patterns and anomalies that might be
missed by the human eye. Think of it like a
digital detective, okay, looking for clues and a mountain of evidence.
Speaker 1 (01:54):
I like that analogy. And it's not just stopping a
diagnosis either, Right, we're talking about AI revelution, utionizing the
way treatments.
Speaker 2 (02:01):
Are developed exactly. You know, the traditional way of developing
new drugs can be incredibly time consuming and expensive, right.
It can take years of research and testing and you
know the lot of trial and error. But AI is
changing all that it can analyze huge data sets to
identify promising drug candidates and then predict how effective they
might be. They're even using it to simulate clinical trials.
Speaker 1 (02:23):
So potentially speeding up the process of getting life saving
drugs to the people who need them exactly.
Speaker 2 (02:28):
You know, imagine the impact that could have on fighting
diseases that right now we don't have cures for.
Speaker 1 (02:34):
It's really exciting. But it's not just in the lab, right,
AI is actually changing the way patients interact with healthcare
in their everyday lives too.
Speaker 2 (02:42):
Right. You know those virtual assistants and chatbots we're all
using more and more these days, Well, imagine those same
tools apply to healthcare. They can answer questions, schedule appointments,
remind people to take their meds, even offer some basic
health advice.
Speaker 1 (02:56):
That's amazing. It's almost like having a virtual nurse on
call two.
Speaker 2 (03:00):
Four seven, exactly. And it's not just about convenience for patients.
These tools can free up healthcare professionals to focus on
those more complex tasks and give more personalized care to
those who really need it.
Speaker 1 (03:12):
And AI can also help streamline things behind the scenes
in hospitals.
Speaker 2 (03:16):
Right, Oh, absolutely, hospitals are using AI to predict patient admissions,
optimize staffing, and even manage resources more efficiently. It's all
about making things run more smoothly and reducing those dreaded
weight times.
Speaker 1 (03:29):
It's amazing to think about all the ways AI is
being applied, but we'd be remiss if we didn't talk
about some of the potential downsides.
Speaker 2 (03:37):
Right right, I mean, any new technology comes with its
own set of challenges, and AI in healthcare is no exception. Yeah,
you know, data privacy is a big one. We have
to ensure that patient information is being handled securely and responsibly.
And then there's the potential for algorithmic bias.
Speaker 1 (03:53):
Oh yeah.
Speaker 2 (03:53):
AI algorithms are trained on data, and if that data
reflects existing biases in the healthcare system, those biases could
be amplified.
Speaker 1 (04:01):
By the AI, and that would just further exacerbate inequalities
in healthcare.
Speaker 2 (04:05):
Right exactly. So you know, as we move forward, it's
critical to address these ethical considerations and ensure that AI
is implemented responsibly.
Speaker 1 (04:14):
And that it benefits everyone, not just to select few. Absolutely,
it's so important to be having these conversations now, you know,
before these technologies become even more widespread.
Speaker 2 (04:23):
Well, I completely agree. We need to be proactive in
shaping the future of AI and healthcare, ensuring transparency, accountability,
and equitable access for all.
Speaker 1 (04:32):
Because ultimately AI has the potential to truly revolutionize healthcare
for the better.
Speaker 2 (04:39):
It really does. It could help us live longer, healthier lives,
maybe even prevent diseases before they even develop.
Speaker 1 (04:45):
It's an incredible time to be alive, that's for sure.
And who knows, maybe one day you'll be asking your
doctor Siri, what's the diagnosis, or.
Speaker 2 (04:52):
Maybe our smart watches will be telling us before we
even
Speaker 1 (04:54):
Have to ask exactly Until next time,
It seems like everywhere you turn these days, there's talk
about AI. Right, but are you ready for AI doctors?
Speaker 2 (00:07):
Well, maybe not doctors exactly, but AI is already starting
to change the game in healthcare and in some pretty
wild ways.
Speaker 1 (00:15):
That's exactly what we're diving into today. We're taking a
look at this study called Exploring AI and Healthcare Revolutionizing Medicine,
and let me tell you, it is fascinating. We're going
to cover everything from diagnoses and treatments to how AI
is being used to develop brand new drunks.
Speaker 2 (00:32):
It's really mind blowing stuff.
Speaker 1 (00:33):
It is. So maybe let's start with something that I
think is just so intriguing the idea of AI being
able to diagnose illnesses.
Speaker 2 (00:41):
Oh. Absolutely, this is one of the most promising areas
where AI is making a huge impact. You know, it
can analyze medical images like X rays and MRIs with
crazy accuracy. In some cases, it's even outperforming human radiologists.
For example, did you know that AI can detect lung
cancer and X rays with something like ninety five percent accuracy?
Speaker 1 (01:01):
It's incredible. It really is like having a second pair
of eyes, but like superpowered eye, and not just lung
cancer either. This study talks about how AI is getting
really good at spotting heart conditions and even neurological disorders,
like way before any symptoms even show.
Speaker 2 (01:16):
Up, right, And that early detection is key, isn't it.
It gives doctors a chance to intervene much earlier, which
can make a huge difference in the outcome for patients.
Speaker 1 (01:25):
It's life saving stuff, really, absolutely, So can you break
it down for us a bit? How does AI actually
do this? Well?
Speaker 2 (01:33):
It all comes down to data, okay. AI algorithms can
sift through massive amounts of data, you know, medical images,
patient histories, lab results, even genetic information. Wow, And it
looks for those subtle patterns and anomalies that might be
missed by the human eye. Think of it like a
digital detective, okay, looking for clues and a mountain of evidence.
Speaker 1 (01:54):
I like that analogy. And it's not just stopping a
diagnosis either, Right, we're talking about AI revelution, utionizing the
way treatments.
Speaker 2 (02:01):
Are developed exactly. You know, the traditional way of developing
new drugs can be incredibly time consuming and expensive, right.
It can take years of research and testing and you
know the lot of trial and error. But AI is
changing all that it can analyze huge data sets to
identify promising drug candidates and then predict how effective they
might be. They're even using it to simulate clinical trials.
Speaker 1 (02:23):
So potentially speeding up the process of getting life saving
drugs to the people who need them exactly.
Speaker 2 (02:28):
You know, imagine the impact that could have on fighting
diseases that right now we don't have cures for.
Speaker 1 (02:34):
It's really exciting. But it's not just in the lab, right,
AI is actually changing the way patients interact with healthcare
in their everyday lives too.
Speaker 2 (02:42):
Right. You know those virtual assistants and chatbots we're all
using more and more these days, Well, imagine those same
tools apply to healthcare. They can answer questions, schedule appointments,
remind people to take their meds, even offer some basic
health advice.
Speaker 1 (02:56):
That's amazing. It's almost like having a virtual nurse on
call two.
Speaker 2 (03:00):
Four seven, exactly. And it's not just about convenience for patients.
These tools can free up healthcare professionals to focus on
those more complex tasks and give more personalized care to
those who really need it.
Speaker 1 (03:12):
And AI can also help streamline things behind the scenes
in hospitals.
Speaker 2 (03:16):
Right, Oh, absolutely, hospitals are using AI to predict patient admissions,
optimize staffing, and even manage resources more efficiently. It's all
about making things run more smoothly and reducing those dreaded
weight times.
Speaker 1 (03:29):
It's amazing to think about all the ways AI is
being applied, but we'd be remiss if we didn't talk
about some of the potential downsides.
Speaker 2 (03:37):
Right right, I mean, any new technology comes with its
own set of challenges, and AI in healthcare is no exception. Yeah,
you know, data privacy is a big one. We have
to ensure that patient information is being handled securely and responsibly.
And then there's the potential for algorithmic bias.
Speaker 1 (03:53):
Oh yeah.
Speaker 2 (03:53):
AI algorithms are trained on data, and if that data
reflects existing biases in the healthcare system, those biases could
be amplified.
Speaker 1 (04:01):
By the AI, and that would just further exacerbate inequalities
in healthcare.
Speaker 2 (04:05):
Right exactly. So you know, as we move forward, it's
critical to address these ethical considerations and ensure that AI
is implemented responsibly.
Speaker 1 (04:14):
And that it benefits everyone, not just to select few. Absolutely,
it's so important to be having these conversations now, you know,
before these technologies become even more widespread.
Speaker 2 (04:23):
Well, I completely agree. We need to be proactive in
shaping the future of AI and healthcare, ensuring transparency, accountability,
and equitable access for all.
Speaker 1 (04:32):
Because ultimately AI has the potential to truly revolutionize healthcare
for the better.
Speaker 2 (04:39):
It really does. It could help us live longer, healthier lives,
maybe even prevent diseases before they even develop.
Speaker 1 (04:45):
It's an incredible time to be alive, that's for sure.
And who knows, maybe one day you'll be asking your
doctor Siri, what's the diagnosis, or.
Speaker 2 (04:52):
Maybe our smart watches will be telling us before we
even
Speaker 1 (04:54):
Have to ask exactly Until next time,
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