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@ShahidNShah
Physical Examination Identification in Medical Education Videos: Zero-Shot Multimodal AI With Temporal Sequence Optimization Study
Objective structured clinical examinations (OSCEs) are widely used for assessing medical student competency, but their evaluation is resource-intensive, requiring trained evaluators to review 15-minute videos. The physical examination (PE) component typically constitutes only a small portion of these recordings; yet, current automated approaches struggle with processing long medical videos due to computational constraints and difficulties maintaining temporal context.
Medigy Insights
Explainable AI models can accurately forecast which surgical patients are at higher risk of postoperative complications by analyzing electronic health record data, offering clinicians actionable insights before adverse events occur. Providing understandable explanations alongside predictions helps clinicians trust and adopt AI tools in surgical care planning.
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Clinical Large Language Model Evaluation by Expert Review (CLEVER): Framework Development and Validation
The proliferation of both general purpose and health care–specific large language models (LLMs) has intensified the challenge of effectively evaluating and comparing them. Data contamination plagues …
