Clinical artificial intelligence (AI) has advanced rapidly, with frontier large language models now matching or exceeding physician performance on simulated diagnostic reasoning and clinical decision-support tasks. Yet adoption has outpaced the evidence base: fewer than 5% of cleared U.S. Food and Drug Administration (...
John Emmett Worth, Anastasia Perez, David Wu et al.· BMJ digital health & AI· 1 citation
Blinded physician evaluation has been considered by many to be the gold standard for assessing clinical reasoning in large language models (LLMs). This is difficult to scale; thus, prior studies typically rely on small physician panels, often from a single institution or specialty, which both limits the scientific ques...
Thomas A. Buckley, Zahir Kanjee, Peter G. Brodeur et al.· 0 citations
A prediction-aware adaptive rollout framework for heterogeneous multi-robot task assignment with scheduled and real-time requests that achieves near-complete service and reduces serviced-request wait times relative to reactive, token-passing, prediction-positioning, and myopic greedy baselines.
Daniel Garces, Sara Castro, Adrian D. Haimovich et al.· 0 citations
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