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Abstract Objective Structured Clinical Examinations (OSCEs) are central to assessing medical student clinical competence, but human grading imposes substantial burden. We report, to our knowledge, the first prospective single-center deployment of an integrated multimodal artificial intelligence (AI) system for OSCE grading in undergraduate medical education, spanning notes, audio, and video.
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