When people talk about preparing doctors for the AI era, the conversation often goes straight to tools: which model, which vendor, which use case. Those questions matter. But there is an earlier question that may be more useful: what kind of problem is this system actually presenting?
Medicine is full of problems that look similar from a distance and behave very differently up close. Treating each one as a technical problem is an easy way to create a technically impressive solution that does not improve much.
