Beyond Uncertainty Reduction: Calibrated Planning for Interactive Diagnosis

The paper introduces CaRDI, a calibrated planning framework for interactive medical diagnosis that uses a clinical loss combining diagnosis error and severity-weighted omission. Unlike prior methods that focus solely on uncertainty reduction, CaRDI balances expected risk reduction with interaction cost, employing diagnostic and safety beliefs along with conformal residual calibration. Experiments on multiple medical benchmarks demonstrate that CaRDI improves diagnostic accuracy, reduces the number of questions asked, and lowers clinical loss by 21.5% while decreasing severe omissions.

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• llms
• agents
• benchmarks
• safety