Most teams building AI systems treat confidence as a solved problem. The model produces a probability, the interface displays it, and the reliability requirement gets checked off. Within weeks, the number becomes furniture. Anyone who has watched a clinician work through a queue of suggested codes,
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Why Calibrated Uncertainty and Deliberate Abstention Drive True Clinical AI Adoption






























































