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Duke-NUS Medical School, National University of Singapore, Harvard Medical School, and others
The integration of artificial intelligence (AI) into medical training is accelerating faster than the educational frameworks designed to govern it. The document discusses the potential negative impact of AI on the development of essential clinical reasoning skills among medical trainees. It highlights the importance of designing assessment tasks that reveal AI-independent competency and suggests that the educational impact of AI depends on how and when it is introduced into training. The authors call for collaboration between AI developers and clinical experts to create realistic training scenarios that prepare trainees for real-world clinical challenges.
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