Towards accurate and interpretable competency-based assessment: enhancing clinical competency assessment through multimodal AI and anomaly detection
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Research is being conducted on the use of artificial intelligence to enhance clinical competency assessment and support decision-making in medical practice. The applications of ai in healthcare are being explored in various areas, including anesthesiology education, intensive care units, and disease detection. The development of interpretable and explainable ai models is a key focus of this research, with the goal of improving accuracy and trust in ai-supported medical assessments.
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