Medical evidence synthesis increasingly requires published studies, real-world clinical data and structured biomedical knowledge, yet most automated systems remain centered on literature retrieval and summarization. Here we present MES, a multi-agent framework for source-grounded medical evidence synthesis. MES coordin...
Across this controlled multilingual corpus, aggregate transcription-frequency metrics did not reliably track the sparse severe tail of clinically consequential errors, and these data do not support its use alone as a proxy for clinical safety.
H. Bergman, V. Liu, B. Austin et al.· medRxiv· 0 citations
The judges behave as a consistent, near-non-differential, clinician-equivalent instrument, which licenses a directional AI-versus-clinician contrast under a non-differential misclassification argument, subject to its conditions.
H. Bergman, V. Liu, B. Austin et al.· medRxiv· 1 citation· ⚡1
In this simulation, AI-generated notes scored higher on documentation quality, varied less, and carried fewer clinically significant errors than notes written on the same consultations by junior-to-middle-grade clinicians.
H. Bergman, V. Liu, B. Austin et al.· medRxiv· 1 citation
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