Abstract Coiera and Fraile-Navarro question whether AI scribes are being evaluated on metrics that truly impact care. While current evaluations focus on the quality of the initial draft, signed clinical notes are dynamic, as their content can be copied, summarized, coded, and re-ingested by downstream AI tools. We argu...
V. Sorin, E. Klang· JMIR Medical Informatics· 0 citations
LLM clinical recommendations varied by sociodemographic descriptors, particularly under diagnostic uncertainty, suggesting structured inputs may mitigate bias in clinical AI systems.
Idit Tessler, Mahmud Omar, A. Wolfovitz et al.· Journal of Vestibular Resear...· 0 citations
Dynamic, case-matched retrieval improved alignment of LLM-generated CT pulmonary angiography impressions with reference impressions on automated text-similarity metrics in a retrospective IRB-approved study.
V. Sorin, Jeremy D. Collins, Lewis Hahn et al.· PLoS ONE· 0 citations
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