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Clinical language models can now provide more trustworthy uncertainty estimates for risk prediction, reducing overconfident false reassurance in clinical decision support.
This work developed and externally validated machine learning models using structured electronic health record (EHR) data to predict incident CSM diagnoses up to 30 months in advance, and found that clinically oriented models generalized more effectively in external validation across a separate health system.
