Researchers propose AI framework that encourages clinical decision systems to acknowledge uncertainty and ask clarifying questions rather than overconfident diagnoses

New engineering framework designs AI systems to demonstrate intellectual humility by recognizing the limits of their knowledge in medical decision-making

Curiosity-driven approach enables AI to actively seek additional information and flag cases where human physician judgment is essential

Framework aims to reduce AI overconfidence in clinical settings where incorrect confident predictions could harm patient outcomes

Published in BMJ Informatics, the research addresses critical gap between high-performing AI models in labs and safe deployment in real medical environments