How does this even get discovered? Like they're pointing a camera at a croissant and the AI says "I don't know what that bread based food is but the guy holding it has melanoma". I just can't figure out how those two tests overlapped at all.
They likely changed the model AI and did some additional training on cancer data. The first thing you do in machine learning 101 is build a neural network an AI that can identify breast cancer. This is such a non story meant to mislead those who are not aware of how it works.
I would imagine once it gets good at distinguishing things like various kinds of baked goods (which is actually really tough, I'd imagine), then you start exploring what other challenges it can solve.