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Re:Production AI systems are hard by gonzo41 on Monday May 29, 2023 @06:12AM (#36112466)
You need to pair a system like this with regulation and changes in the medical field to upskill nurses so they have a larger extended skill set and essentially have a path to becoming doctors via practical experience.

There's a lot of information on medical conditions. I remember hearing about IPhone apps that can get a 90% hit rate on correct diagnosis for general practitioner style visits. Taking that into account, and a large scale medical database, you'd think we'd be pushing that technology down so we can get better productivity out of primary care, so most of the time Dr's were using their big brains for big complex problems.

Re:Production AI systems are hard by wouldbecouldbe on Monday May 29, 2023 @07:00AM (#36112747)
90% hit rate is pretty easy to accomplish for a standard doctor's visit, a big percentage of the doctor's visit are standard. You can probably train most humans to deal with that quickly. They often use students if the pressure is high here. It's about the other 10% + unforeseen issues.
Re:Production AI systems are hard by haldujai on Monday May 29, 2023 @07:28AM (#36112925)
Speaking to radiology, ~90% of imaging studies are normal so I can sign my default template without looking at the images and be correct the vast majority of the time.
Re:Production AI systems are hard by cicce19 on Wednesday May 31, 2023 @11:14PM (#36147208)
Also a rad (and heavily in the AI field). I think you mean 90% have inconsequential findings and not that they are "normal". Can you really apply untouched templates to 90% of your cases? I find that very hard to believe. How many templates do you have and how can they possibly describe the variety of possible findings seen on each type of study?
Re:Production AI systems are hard by taneq on Monday May 29, 2023 @09:45AM (#36113888)
90% hit rate could probably be achieved with "take some panadol and come back in a couple of days if you still feel bad."
Re:Production AI systems are hard by avereveard on Monday May 29, 2023 @07:18AM (#36112854)
> have a path to becoming doctors via practical experience.

Lol no

Re:Production AI systems are hard by cdogl on Monday May 29, 2023 @07:53AM (#36113056)
> I remember hearing about IPhone apps that can get a 90% hit rate on correct diagnosis for general practitioner style visits.

Was that in marketing materials?

> so most of the time Dr's were using their big brains for big complex problems.

I have been misdiagnosed multiple times to my significant detriment. The issue each time was doctors failing to pay attention and exercise their faculties and knowledge, because they didn't care. These people didn't seem to have "big brains" and my subsequent experience taught me they weren't interested in responsibility or accountability either. I've heard similar stories from (for example) women who struggle with conditions like PMDD.

I'm not on board with giving these people tools that they can use to justify paying even less attention.

Re:Production AI systems are hard by wouldbecouldbe on Monday May 29, 2023 @08:21AM (#36113235)
I honestly don't think GP's need big brains, just slightly above average and a good memory.

Skills required for being a good GP are probably empathy, communication, decent memory, reasonable analytical skills, not to big of an ego. Very different from a researcher.

Re:Production AI systems are hard by JCharante on Tuesday May 30, 2023 @01:13AM (#36121351)
You could make the opposite argument that doctors don't pay attention so we should replace them with AI.