Beyond Confidence Scores: Building Fragility-Aware Reasoning for Medical AI

Modern AI systems are becoming increasingly capable of reasoning over complex clinical information. They can summarize medical literature, generate differential diagnoses, connect symptoms to diseases, and assist clinicians in navigating enormous amounts of evidence. But there is a fundamental problem: A confidence score does not tell us where reasoning can fail. A model may report: Diagnosis: Myocarditis Confidence: 0.82 But what does the 0.82 actually mean? Which assumption is uncertain?…