Comment by raxxorraxor

Agreed. I did do image processing on skin and have to say it is just very very difficult to get 100% correct. In my opinion, even if some systems do outperform some doctors, it can only work as diagnostic support.

Anomalies are very hard to detect on certain skin tones and creating data sets from image material is quite a lot of work, even if you have access to large clinics specialised on dermatology with diagnosed and undiagnosed material.

Not seeing LLM to perform very well here and hallucination would be a major issue (not at all a solved problem, even frontier models do hallucinate/match the most probable path. Perhaps a problem that cannot be solved without arbitrary rules.)

And I guess some SVM still outperform CNN, just that CNN provide a pretty good learning environment that can improve upon ingesting more data. Although there is a risk associated with that as well.

Still, if we had well documented data material, many algorithms and AIs would perform well. The work is getting the data in a dependable state.