Ten years ago, in France, two doctors (one in a professional setting and the other during a private consultation) asked me about a wound I had on my shoulder; obviously I couldn't identify what it was, and they offered no suggestions, so I supposed it was not something important.
It took a visit to a cardiologist—for an entirely different reason—for him to suggest that I rapidly consult a dermatologist.
It was a carcinoma, and surgery removed it. If ChatGPT had existed back then, this carcinoma would have been removed several years earlier.
Current diagnostic setup relies on humans having vast expert knowledge, when in fact it's almost always impossible.
A well trained neural net/LLM will always be better at visual detection because of sheer number of examples it sees during training, compared to a dermatologist which, if lucky will observe no more than 20 patients/day x 270 days a year x 40 years of practice i.e. around 220k samples throughout his lifetime.
MD with other specialties will see significantly less and we are talking about top of the top specialists.
An average MD knows more amount medical diagnostics than than the average Joe, but in principle much less than a well trained AI.
Do we have those kinds of models already? Maybe not yet but, ceteris paribus, we will definitely have them in the future.
IMHO we do have those models already but they aren't available to the public, though their availability would certainly lower cost for healthcare providers.
Automation doesn't make up for carelessness.