That's true. Waymo had to train their AI to perform the job of a firefighter for them to recognize a fire hydrant and a firetruck.
> I.e. not segmenting things into funky shapes or running some funky black box magic that spits out "tumor/not tumor" with no context whatsoever, no.
... But that's the goal right? There's a tumor right there at these coordinates or not.
These questions and their relevance changes for every individual case, and while each question by itself may be approachable with AI, getting a detailed and relevant report without meaningless noise from an AI ensemble is a very very hard problem.
These are all interesting problems where I could see an AI struggling. I guess the next step, once tumor identification becomes a solved problem, will be to train the AI on treatment data and follow-up, ie, this is an example where there was spread to lymph nodes.
Interesting times ahead!
Part of it.
Human doctors will not only tell you if there's something funky in the image, but will also interpret it in light of a patient's medical history, symptoms, possible diagnoses, etc.
Subtle shading near some structure involved in one of two possible conditions might be very important, but an obvious cyst in an unrelated organ likely means nothing. People are weird close-up!