- cross-posted to:
- news@lemmy.world
- technology@lemmy.world
- cross-posted to:
- news@lemmy.world
- technology@lemmy.world
‘Nothing is changing’ — Reddit is denying a report from The Washington Post that it might force users to log in to see content if it can’t reach deals with AI companies::Reddit initially denied a report from The Washington Post that it might force users to log in to see content. However, the Post says it may still block search crawlers, and Reddit didn’t deny to The Verge that it may do so.
I work in healthcare tech and can guarantee there are exciting things coming down the pipeline in that domain
Lol. I will believe it when I see it. I don’t think LLMs especially will do that much good in Healthcare, and I would be particulary wary of them diagnosing patients. Aside from some very limited signal analysis for telehealth, I am very wary on the applications of “new” AI on healthcare. I believe it will be a disaster.
Unless you’re a medical professional, you probably won’t see it.
8f your in enterprise software, this stuff is pretty malleable. You are regularly asked to give pitches and lectures on medical projects, for sales reasons. You would be surprised - most people that work on this stuff have no idea the fist thing about medicine.
My Mom’s a doctor, so I can ask her to have a bit of insight about this stuff. The challenges facing healthcare don’t have that much to do with technology, at least in the US.
Anything you can share?
We’re largely still working with LLMs at the moment – Using them to immediately pull in relevant clinical information from previous encounters when a doctor sees a patient. Or using generative AI to edit doctors’ messages to patients be more empathetic and… human (our pilot organizations have really loved this one so far). Using procedure codes on claims to guess if certain diagnoses were missed and to make more robust health risk profiles for populations as a whole – these are a bit more NLP/data mining.
Much of this seems like a bad idea imo.
Hey, same (or at least similar)