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OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors

theguardian.com

31–40 of 500 posts

Re: OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors

#31
post #11

I'd be very very hesitant to trust studies like this. It's very easy to mess up these benchmarks. See for example this recent paper where AI managed to beat radiologists on interpreting x-rays... when the AI didn't even have access to the x-rays: https://arxiv.org/pdf/2603.21687 (on a pre existing "large scale visual question answering benchmark for generalist chest x-ray understanding" that wasn't intentionally mess…

I agree with you on this specific study, however, I can't really wrap my head about the fact that doctors will be better than AI models on the long-run. After all, medicine is all about knowledge, experience and intelligence (maybe "pattern recognition"), all those, we must assume that the best AI models (especially ones focusing solely in the medical field) would largely beat large majority of humans (aka doctors),…

> What is the specific capability (or combination of capabilities) that people believe will remain permanently (or at least for decades) where a top medical AI cannot match or exceed the performance of a good human doctor? Let's put liability and ethics aside, let's be purely objective about it.

Being a human when a patient is experiencing what is potentially one of the worst moments of their life. AI could be a tool doctors use, but let’s not dehumanize health care further, it is one of the most human professions that crosses about every division you can think of.

I would not want to receive a cancer diagnosis from a fucking AI doctor.

Re: OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors

#32
post #13

The Guardian needs to raise their bar on what to report and how to give readers full context on the ongoing NFT AI trust me bro crypto scam and that context would be that it is a mathematical model of human language and not medical expert or replacement for one.

So we can eventually classify AI models as Software experts, but not as Medical experts, why so?

We can't. It's just that everyone and their dog has an interest in selling you that lie because money.

Stochastic parrots can code yes, but that does not make them experts. Don't trust them with your life.

Re: OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors

#33
post #11

I'd be very very hesitant to trust studies like this. It's very easy to mess up these benchmarks. See for example this recent paper where AI managed to beat radiologists on interpreting x-rays... when the AI didn't even have access to the x-rays: https://arxiv.org/pdf/2603.21687 (on a pre existing "large scale visual question answering benchmark for generalist chest x-ray understanding" that wasn't intentionally mess…

I agree with you on this specific study, however, I can't really wrap my head about the fact that doctors will be better than AI models on the long-run. After all, medicine is all about knowledge, experience and intelligence (maybe "pattern recognition"), all those, we must assume that the best AI models (especially ones focusing solely in the medical field) would largely beat large majority of humans (aka doctors),…

> I can't really wrap my head about the fact that doctors will be better than AI models on the long-run.

Nobody said that though?

If the current trajectory continues and if advancements are made regarding automated data collection about patients and if those advancements are adopted in the clinic then presumably specialized medical models will exceed human performance at the task of diagnosis at some point in the future. Clearly that hasn't happened yet.

Re: OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors

#35
post #11

I'd be very very hesitant to trust studies like this. It's very easy to mess up these benchmarks. See for example this recent paper where AI managed to beat radiologists on interpreting x-rays... when the AI didn't even have access to the x-rays: https://arxiv.org/pdf/2603.21687 (on a pre existing "large scale visual question answering benchmark for generalist chest x-ray understanding" that wasn't intentionally mess…

I agree with you on this specific study, however, I can't really wrap my head about the fact that doctors will be better than AI models on the long-run. After all, medicine is all about knowledge, experience and intelligence (maybe "pattern recognition"), all those, we must assume that the best AI models (especially ones focusing solely in the medical field) would largely beat large majority of humans (aka doctors),…

To answer your question: talking to a human.

Medicine is so much more than "knowledge, experience, and pattern matching", as any patient ever can attest to. Why is it so hard for some people to understand that humans need other humans and human problems can't be solved with technology?

Re: OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors

#36
> "An AI and a pair of human doctors were each given the same standard electronic health record to read"

This is handicapping the human doctors abilities. There is a lot more information a human doctor can gather even with a brief observation of the patient.

Re: OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors

#37
post #13

The Guardian needs to raise their bar on what to report and how to give readers full context on the ongoing NFT AI trust me bro crypto scam and that context would be that it is a mathematical model of human language and not medical expert or replacement for one.

So we can eventually classify AI models as Software experts, but not as Medical experts, why so?

I don't classify them as software experts either. Anyone doing so is probably not an expert themselves.

I take them as those code generation command line tools like create react app and such.

Re: OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors

#38
post #11

I'd be very very hesitant to trust studies like this. It's very easy to mess up these benchmarks. See for example this recent paper where AI managed to beat radiologists on interpreting x-rays... when the AI didn't even have access to the x-rays: https://arxiv.org/pdf/2603.21687 (on a pre existing "large scale visual question answering benchmark for generalist chest x-ray understanding" that wasn't intentionally mess…

I agree with you on this specific study, however, I can't really wrap my head about the fact that doctors will be better than AI models on the long-run. After all, medicine is all about knowledge, experience and intelligence (maybe "pattern recognition"), all those, we must assume that the best AI models (especially ones focusing solely in the medical field) would largely beat large majority of humans (aka doctors),…

But liability and ethics cannot be put aside. If treatments were free of cost and perfectly address problems, then a correct diagnosis would always lead to the optimal patient outcome. In that scenario, AI diagnosis will be like code generation and go asymptotic to perfection as models improve.

But a doctor's job in the real world today is to navigate a total mess of uncertainty: about the expected outcome of treatments given a patient's age and other peoblems. About the psychological effect of knowing about a problem that they cannot effectively treat. Even about what the signals in the chart and x-ray mean with any certainty.

We are very far from having unit test suites for medical problems.

Re: OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors

#39
post #11

I'd be very very hesitant to trust studies like this. It's very easy to mess up these benchmarks. See for example this recent paper where AI managed to beat radiologists on interpreting x-rays... when the AI didn't even have access to the x-rays: https://arxiv.org/pdf/2603.21687 (on a pre existing "large scale visual question answering benchmark for generalist chest x-ray understanding" that wasn't intentionally mess…

I agree with you on this specific study, however, I can't really wrap my head about the fact that doctors will be better than AI models on the long-run. After all, medicine is all about knowledge, experience and intelligence (maybe "pattern recognition"), all those, we must assume that the best AI models (especially ones focusing solely in the medical field) would largely beat large majority of humans (aka doctors),…

This study is based almost entirely on pre-existing "vignettes." In other words, on tests that are already known and have existed for years, the model did well, which is precisely what you should expect.

It provides no information on real world outcomes or expectations of performance in such a setting. A simple question might be "how accurate are patient electronic health records typically?"

Finally, if the Internet somehow goes down at my hospital, the Doctor can still think, while LLM services cannot. If the power goes out at the hospital, the Doctor can still operate, while even local LLMs cannot.

You're going to need to improve the power efficiency of these models by at least two orders of magnitude before they're generally useful replacements of anything. As it is now they're a very expensive, inefficient and fragile toy.

Re: OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors

#40
post #20
post #13

The Guardian needs to raise their bar on what to report and how to give readers full context on the ongoing NFT AI trust me bro crypto scam and that context would be that it is a mathematical model of human language and not medical expert or replacement for one.

>The Guardian needs to raise their bar on what to report and how to give readers full context Should they not report on peer reviewed articles published in Science? or only report published articles that fit your priors?

Fair enough. But there's lot of faulty and wrong peer reviewed research as well. One such paper comes to mind which is probably cited some 7000+ times in other papers but itself is wrong.
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