this post was submitted on 09 Feb 2026
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Agree.
I'm sorta kicking myself I didn't sign up for Google's MedPALM-2 when I had the chance. Last I checked, it passed the USMLE exam with 96% and 88% on radio interpretation / report writing.
I remember looking at the sign up and seeing it requested credit card details to verify identity (I didn't have a google account at the time). I bounced... but gotta admit, it might have been fun to play with.
Oh well; one door closes another opens.
In any case, I believe this article confirms GIGO. The LLMs appear to have been vastly more accurate when fed correct inputs by clinicians versus what lay people fed it.
It's been a few years, but all this shit's still in it's infancy. When the bubble pops and the venture capital disappears, Medical will be one of the fields that keeps using it, even though it's expensive, because it's actually something that it will be good enough at to make a difference.
Agreed!
I think (hope) the next application of this tech is in point of care testing. I recall a story of a someone in Sudan(?) using a small, locally hosted LLM with vision abilities to scan hand written doctor notes and come up with an immunisation plan for their village. I might be misremembering the story, but the anecdote was along those lines.
We already have PoC testing for things like Ultrasound... but some interpretation workflows rely on strong net connection iirc. It'd be awesome to have something on device that can be used for imaging interpretation where there is no other infra.
Maybe someone can finally win that $10 million dollar X prize for the first viable tricorder (pretty sure that one wrapped up years ago? Too lazy to look)..one that isn't smoke and mirror like Theranos.
For the price of a ultrasound equipment, I bet someone could manage to integrate old school sattelite or ...grr starlink... data