I've done enough image classification stuff that, nah. If all you care about is high level confirmation with high error rates, sure. But more complex tasks like, "Are these two documents the same?" are much, much harder and the failure modes are subtle.
> I think most experts wouldn't approach this problem as an image classification problem ...
Indeed. It is first and foremost a statistics and net patient outcomes problem.
The image classification bit - to the best of the current algorithms abilities - is essentially a solved problem (even if it isn't quite that simple), and when better models become available you plug those in instead. There is no innovation there.
The hard part is the rest of it. And without a good grounding in medical ethics and statistics that's going to be very difficult to get right.
I am a "noncoder" because of a number of reasons. My best friend is a "coder" and still starts instructions with "It's easy! Just open the terminal...".
Unfortunately, I do advanced knowledge work, and the tools I need technically often exist...if you're a coder.
Coding is not that accessible. The intermediary mental models and path to experience required to understand a coding task are not available to the average person.