External validation is not an administrative formality in medical artificial intelligence. It is the point at which a model leaves the environment in which it was built and meets the clinical world it claims to serve. A system may perform acceptably inside its development setting, with familiar data, familiar definitions and familiar institutional habits, and …
A medical algorithm becomes dangerous when it mistakes an administrative trace for a clinical truth. One of the clearest documented failures in health-care artificial intelligence came from a commercial risk-management algorithm that used past medical cost as a proxy for future clinical need. At first glance, that choice may appear practical: costs are measurable, structured …
A medical algorithm must not confuse cost with health Leer más »
Medical artificial intelligence should not be judged only by the sophistication of its model, but by the discipline with which it handles uncertainty. The documented failures of several high-profile systems reveal a recurring pattern: some tools were presented as if they could support clinical decisions with a degree of confidence that their data, validation and …
When AI sounds certain but should say “I do not know” Leer más »