> Can you share the reasons that you believe this?
Firstly, please keep in mind I'm talking about the entire doctor population of the world here. Not sure which particularly bubble of this earth you have experience with, but note how half the word's population lives in India/China/Indonesia/Pakistan/Nigeria/Brazil/Bangladesh/Russia. Now I do believe that it holds the same for e.g. Europe and non-China East-Asia, but still.
How many patients has the world-wide average doctor seen? How long have they been a doctor?
How many have they seen with the particular condition the patient has?
How much time do they spend listening to and reasoning about a patient? The median in the world is likely under 3 minutes.
How many real-world incentives do human doctors have to deal with?
Given infinite time and resources, and zero external incentives, maybe the median human doctor would outperform the LLM at this task. But this is completely detached from the real world.
> What is special about medical imaging that makes AI/LLMs specifically bad?
LLMs: Besides lack of training data as mentioned elsewhere, they're simply not trained for high-fidelity image processing in general. It's not limited to medical imaging. It's a bit like the "How many Rs in strawberry" thing, but worse.
As for "AI" in general, medical image analysis is a very active field. These tend to be purpose-built though, not general-purpose. It seems likely at some point they'll become mainstream, but there's still a way to go.
Firstly, please keep in mind I'm talking about the entire doctor population of the world here. Not sure which particularly bubble of this earth you have experience with, but note how half the word's population lives in India/China/Indonesia/Pakistan/Nigeria/Brazil/Bangladesh/Russia. Now I do believe that it holds the same for e.g. Europe and non-China East-Asia, but still.
How many patients has the world-wide average doctor seen? How long have they been a doctor?
How many have they seen with the particular condition the patient has?
How much time do they spend listening to and reasoning about a patient? The median in the world is likely under 3 minutes.
How many real-world incentives do human doctors have to deal with?
Given infinite time and resources, and zero external incentives, maybe the median human doctor would outperform the LLM at this task. But this is completely detached from the real world.
> What is special about medical imaging that makes AI/LLMs specifically bad?
LLMs: Besides lack of training data as mentioned elsewhere, they're simply not trained for high-fidelity image processing in general. It's not limited to medical imaging. It's a bit like the "How many Rs in strawberry" thing, but worse.
As for "AI" in general, medical image analysis is a very active field. These tend to be purpose-built though, not general-purpose. It seems likely at some point they'll become mainstream, but there's still a way to go.