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AI models that predict disease are not as accurate as reports might suggest

scientificamerican.com

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Re: AI models that predict disease are not as accurate as reports might suggest

#161
post #7

As someone who works in healthcare, so much of what I read about AI makes me think that the people who are enthusiastic about healthcare AI don't have much experience doing it. The scenarios rarely seem to fit with what I'm actually practicing. Most of medicine is boring, it is largely routine, and if we don't know what's going on, it's because we're not the right person to be managing the patient. Most of my time is…

I work in radiology with MRI as a tech. We use AI slightly differently to the examples here, but it’s changing a lot of what we do. It’s more about enhancing images than directly about diagnosing. The image is denoised ‘intelligently’ in k-space and then the resolution is doubled via another AI process in the image domain (or maybe the resolution is quadrupled, as it depends on how you measure it. Our pixel count dou…

I just went through this with my knee surgeon, he was raving about the quality now coming out of the 3T scanner, saying that after the latest software update it gives better quality than the experimental 7T scanner, to the point where they are considering abandoning the 7T scanner study they were doing prematurely.

Re: AI models that predict disease are not as accurate as reports might suggest

#162
post #121

Earlier quoted context omitted.

Look up prospective validation or clinical impact trials. These are validated in day-to-day settings somewhat often, though not as often as they should be.

I'm a professional clinical researcher. Those 'validations' would be comical if the results, when witnessed in person, weren't so sad.

They are validated though. Not as much as they should be, but it happens. IMO the real blocker is hospitals don't want to/cant spend resources on these trials.
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