Hey everyone and welcome back.
Today we're going to be looking at AI doctors.
AI doctors.
Well, not really doctors,
but AI helping doctors with diagnoses.
Right.
We found this super interesting research paper
from Jaminetwork open all about it.
Yeah, it's a really cool study.
They actually use chat GPT plus.
Oh wow, the GPT-4 version.
Yeah, GPT-4 to see if it could help doctors,
you know, make better diagnoses.
So we're talking real doctors using AI.
Real doctors, real cases.
So try and figure out what's wrong with their patients.
Yeah.
Like a digital medical detective.
Exactly.
And the question is, does having access to something
like chat GPT actually change how doctors think?
Change how they diagnose.
Yeah, can it actually be useful
or is it just a distraction?
Right.
So to figure that out.
They got a bunch of doctors together, right?
Yeah, they have 50 doctors.
50 doctors.
Across a few different specialties.
Oh, like.
Family medicine, internal medicine.
Emergency medicine.
Yeah, so a good mix.
To see how they diagnose.
Right, and they gave them these complex medical cases.
Like little medical mysteries.
Yeah, exactly.
They had to put all the clues together.
Symptoms, test results, you know, patient history.
The whole thing.
And figure out what's going on.
And they had to explain how they got there.
Yeah, so it wasn't just multiple choice.
Oh, interesting.
They had to actually write out their reasoning
step by step.
Like they were making a note in the patient's chart.
Exactly.
They called it structured reflection.
Structured reflection.
Which basically means show your work.
I like that.
So you can really see how they're thinking.
So they've got these doctors.
They've got these mystery cases.
And then they throw chat GPT-4 into the mix.
Exactly.
What happened when the AI had to go at these same cases?
Well, this is the really interesting part.
OK.
The AI on its own actually scored higher
than any of the doctors.
Wait, really?
Yeah, it was significantly better.
The AI was better than all these expert doctors.
At diagnosing these cases.
That's kind of freaky.
It is a little bit.
Does that mean robots are going to be our doctors now?
Well, not so fast.
OK.
Here's the thing.
When the doctors were allowed to use GPT-4,
along with their usual resources,
their scores didn't actually get that much better.
So it's good on its own.
It seems that way.
But not good at working with a team.
Yeah, it's like it's a great soloist,
but not a team player.
So what's going on there?
Well, that's where things get really interesting.
OK, tell me more.
It might not just be about how smart the AI is.
That's something else.
But about how we as humans interact with it.
So you can't just say, hey AI, what's wrong with this person?
Not quite.
There's more to it.
It's like having a really powerful search engine.
Right.
But if you don't know how to use it,
you're not going to find what you need.
So you have to know how to ask the right questions.
Exactly.
And that's something that this study highlighted.
Oh, hells in the air.
This idea of prompting how you phrase your questions to the AI.
I see.
The doctors in the study weren't given any specific training
on how to use GPT-4.
Right.
So they might not have been using it to its full potential.
Like they got a fancy new gadget, but no instructions.
Exactly.
So that's a big take away.
Yeah, it's not enough to just introduce AI into health care.
Right.
We have to figure out how to integrate it properly.
How to use it, right?
How to train people.
So it's not about AI versus doctors.
No, it's more about how they can work together.
Both bringing something to the table.
Exactly.
The doctor with their experience in human touch.
And the AI with all this information and new perspectives.
It could be a really powerful combination.
It's pretty exciting.
But we have to be realistic.
Absolutely.
This was just one study with one AI.
Right.
There's a lot more out there.
It's like saying we tried one type of electric car.
And it didn't work so well.
And then saying all electric cars are bad.
We can't do that.
We need more research, more data.
And who knows what's coming next.
Exactly.
AI is constantly evolving.
So this study.
It's a snapshot in time.
Oh, look at what's possible right now.
But there's so much more to come.
It's a really interesting start, though.
Yeah.
It shows the potential of AI in health care.
And some of the challenges we need to think about.
Exactly.
And that's what makes this study so important.
Gives us a lot to think about for the future of AI in health care.
Yeah.
How do we actually train doctors to use these tools?
Why?
It's like giving someone a supercomputer.
But they have no idea how to code.
Exactly.
You wouldn't expect them to be an expert overnight.
So we need AI training for doctors.
Yeah.
Imagine if medical school started incorporating that
into the curriculum.
That's a cool idea.
Doctors could learn how to really use these systems.
How to ask the right questions.
Get the most useful information.
Like it could really enhance their skills.
It would be like giving them a superpower.
A medical superpower.
Tapping into all this knowledge.
And it's not just diagnosis either, right?
No.
There's so much more AI could do in health care.
Like what?
Think about personalized treatment plans.
Tailored to each patient.
Based on their genes, their lifestyle, their medical history.
Whoa.
That's next level.
Or what about drug discovery?
Using AI to find new medicines.
Yes.
Sifting through all that data.
Finding the most promising leads.
The possibilities are huge.
It's pretty exciting.
But we can't get carried away.
I have to be realistic.
There are challenges too.
Like what?
Well, first of all, we need to make sure
these systems are reliable.
They have to be accurate.
And safe for patients.
So the information they give is good.
And their decisions make sense.
What about bias?
That's a big one.
AI can be biased, can it?
Yeah.
If the data it's trained on is biased, the AI can be too.
And that could be a problem for patients.
Yeah.
We need to make sure these systems are fair for everyone.
And then there's privacy.
Of course.
All that patient data.
It's really sensitive information.
We have to keep it safe.
Absolutely.
Data security is crucial.
So there's a lot to figure out.
Yeah.
It's a complex landscape.
But it's also really hopeful.
I agree.
AI has the potential to change health care for the better.
We just have to be smart about it.
We need doctors, ethicists, data scientists,
everyone working together.
To figure out the best way forward.
It's a conversation we all need to be part of.
Because it's going to affect all of us.
The future of health care is being shaped right now.
And we have a chance to make it amazing.
I feel like we're just at the beginning of this whole AI
and health care thing.
Oh, yeah.
Definitely.
This is just scratching the surface.
This study was really interesting.
Yeah.
But it definitely raises more questions than it answers.
I think that's a good thing, though.
How so?
It means people are engaged.
They're thinking about it.
Thinking about AI and their own health care.
Exactly.
And that's important.
So let's flip the script for a second.
OK.
And ask our listeners a question.
What do you think?
We saw how AI can help with diagnosis.
Right.
But what else could it do?
Yeah.
What other ways could AI be used in health care?
To help patients and doctors.
Maybe it's something like scheduling appointments.
Or analyzing medical images.
Maybe even creating those personalized health
plans we talked about.
Based on your genes and lifestyle.
There are so many possibilities.
And what about your concerns?
Yeah.
What would make you feel comfortable with AI
being involved in your health care?
Is it transparency?
Knowing how the AI is making decisions.
What about data privacy?
Making sure your information is safe.
Or is it about making sure the human element is still there?
That doctor-patient connection?
Yeah.
That's important.
These are all really important questions.
And there's no easy answers.
But we need to be having these conversations.
Thinking about the ethical side of things.
Because AI in health care is here to stay.
It's the future.
And we all have a role to play in shaping that future.
Making sure it benefits everyone.
Exactly.
Well, this has been an awesome deep dive.
Yeah.
Really fascinating.
We've learned a lot about AI in health care.
And there's still so much more to explore.
But for now, we're going to wrap things up.
Thanks for joining us.
And be sure to tune in next time for another deep dive.
Until then, stay curious.