There are many classifier models that have real value add. Catching potential mistakes or omissions in analysis has been well received (by docs and admins).
Be a tool to help doctors do a better job, help them deal with their increasing workloads.
I don't believe this to be true in the long run. We will almost certainly have Westworld like robots in the future. Researchers have also found, on average, ChatGPT has better bedside manners than doctors.
1. Patient gets tests / imaging
2. Doctor does analysis
3. AI double checks
4. Doctor writes final report
5. AI communicates with more empathy
If you haven't had a dbag doctor, you might not know how an AI might be preferable to that experience
* Too busy (assumptions were made that patient load could increase with ML support)
* Too scared of being sued even if the doctor disagrees
* Too scared of being fired because the doctor keeps overriding the "cost effective" ML verdicts
We've seen this play out over and over in the medical field. I've watched my Primary Care physician go from angst over patient outcomes to angst over statistical outcomes for his department. It took 15 years, but the system got him.
People should have a choice
Sex bots are around the corner and driving the progress.
I'd be happy with a Star Wars droid for a doctor if it meant it cost less and I didn't spend more time waiting than being helped
AI doctor right now also doesn't suggest that all my medical issues are "are you sure you're not on your period?"