Doctors also miss things.

A friend of mine had an accident. He was taken to the emergency room, but the doctors there thought his injuries were minor. My friend insisted that he was bleeding out internally. They finally checked for that, and it turns out he was minutes from dying.

AI wasn't involved in this case, but it's good to have both AI and a trained doctor in the decision loop.

>AI wasn't involved in this case, but it's good to have both AI and a trained doctor in the decision loop.

That doesn't necessarily follow from your story. The AI's specificity and sensitivity are important, which is why we need to study this stuff. An AI that produces too many false positives will send doctors off chasing zebras and they'll waste time, which will result in more deaths.

An AI that produces too many false negatives will make doctors more likely to miss things they otherwise would have checked, which will result in more deaths.

The other real problem with using AI in a medical setting is that AI is very very good at producing plausible sounding wrong information. Even an expert isn't immune to this. So it's even more important that we study how likely they are to be wrong.