OBJECTIVE
To develop and validate an open-source evaluation framework that assesses clinical AI diagnostic systems across multiple clinically relevant dimensions (accuracy, cost, time, invasiveness, physician effort, and safety behaviors), addressing the limitations of accuracy-only benchmarks.
MATERIALS AND METHODS...
M. Sorka, A. Gorenshtein, H. Abramovitch et al.· JAMIA Journal of the America...· 0 citations
It is suggested that sustained clinician engagement, rather than algorithmic accuracy, may be the key barrier to effective clinical AI use in emergency departments.
L. Leibovitch, Adi Ahituv, A. Gorenshtein et al.· Nature Medicine· 2 citations
The field is moving toward integrated speech-language assessment, but the gap between technical capability and clinical utility remains wide, and closing it requires diverse multilingual datasets, standardized benchmarks, prospective validation, and ethical governance.
S. Shelly· De Computis· 0 citations
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