They are already used in medicine reliably. Often. Welcome to the future. Computers are pretty good tools for many things actually.
Comment on But Claude said tumor!
tigeruppercut@lemmy.zip 2 years agoAI cars are still running over pedestrians and people think computers are to the point of medical diagnosis?
KeenFlame@feddit.nu 2 years ago
rho50@lemmy.nz 2 years ago
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.)
Ludrol@szmer.info 2 years ago
I have read some headline that said that some of these model just measure age and a quality of the machine making photos.
MalReynolds@slrpnk.net 2 years ago
Really.
Daxtron2@startrek.website 2 years ago
Says all you need to know about their opinion lol
Kichae@lemmy.ca 2 years ago
Eh. Depends on which tech is being used and how. For a lot of things, relatively basic ML models purposefully trained do a pretty good job, and are, in fact, limited by the diagnoses in the training data. But more generalized “AI” tools seem rather… questionable.
Like, you can train a SVM on fMRIs to compare structures in the brain between patients diagnosed with bipolar disorder and those that are not diagnosed with it, and it will have an accuracy rate on new patients basically equal to the accuracy rate of the doctors who did the diagnosing in the training set. But you’ll have a much harder time creating a model that takes in fMRIs and reports back answers to the question of “which brain disease or abnormality do I have?”
This stuff works much closer to advertised when it’s narrowly defined and purpose built, but the people making and funding this work want catch-all doctor replacements, because of course they do, because there’s way more money in charging hospitals and patience 10% less than a doctor’s salary than there is in providing tools that make doctors’ efforts in diagnosing specific illnesses easier.
Or, at least there is if you can pull it off.
rho50@lemmy.nz 2 years ago
Precisely. Many of the narrowly scoped solutions work really well, too (for what they’re advertised for).
As of today though, they’re nowhere near reliable enough to replace doctors, and any breakthrough on that front is very unlikely to be a language model IMO.