They already have superhuman image classification performance.
We haven't even gotten there yet, have we?
My professor (Sir Michael Brady) at university 14 years ago set up a company to do this very thing, and he already had reliable models back before 2010. I believe their company was called Oxford Imaging or something similar.
A lot of people seem to be using GPT-4 for tasks like text classification and NER, and they’d be much better off fine-tuning a BERT model instead. In vision, too, transformers are great but a lot of times, a CNN is all you really need.
Yes and no. Countless teams have solved exactly this problems at universities and research groups across the world. Technically it's pretty much a solved problem. The hard part is getting the systems out of the labs and certified as an actual product and convincing hospitals and doctors to actually use them.