That is the kind of thing makes me wonder how much of "things that actually matter like pathophysiology and pharmacology" can be factored out into the automation land now.
AI isn't perfect, but even loosely scaffolded generalist systems show promise in the field of medicine now. And the alternative isn't some hypothetical "perfect healthcare" - the status quo is often closer to "nurses running near the limits of their competence" or "physicians stretched thin almost to the breaking point".
The fundamental problem of healthcare is that it struggles to scale. The need for well educated, well paid professionals is inescapable. Or, was inescapable? We might be at the point where this can start changing.
> That is the kind of thing makes me wonder how much of "things that actually matter like pathophysiology and pharmacology" can be factored out into the automation land now.
I would say not much. AI is still often wrong and a clinician needs to know when the LLM is saying something crazy. I think AI has the most promise for increasing the productivity of well trained professionals, not replacing them (or their training) entirely.