this post was submitted on 26 Mar 2024
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There are some very impressive AI/ML technologies that are already in use as part of existing medical software systems (think: a model that highlights suspicious areas on an MRI, or even suggests differential diagnoses). Further, other models have been built and demonstrated to perform extremely well on sample datasets.
Funnily enough, those systems aren't using language models 🙄
(There is Google's Med-PaLM, but I suspect it wasn't very useful in practice, which is why we haven't heard anything since the original announcement.)
I have read some headline that said that some of these models just measure age of a patient and a quality of the machine making photos.
Really.
Says all you need to know about their opinion lol
Still AI misalignment is a real issue. I just don't remember which model was studied and had been found out that it was missaligned.
That and bias, absolutely need improvements. That doesn't mean LLMs can't be extremely effective if given appropriate tasks. The problem is that the people who make decisions about where they're used aren't technical enough to understand their strengths and limitations
I don’t think technical knowledge gives as good a sense as a lot of experience working with one.
Like saying the guys who designed a particular car would know best how it’ll perform on various racetracks. My sense is a driver would have a better sense.
I guess what I meant by technical knowledge meant to be less about general tech and more about specifically LLM tech