چکیده: (103 مشاهده)
Generative artificial intelligence (AI) is increasingly used in medical education to explain concepts, discuss clinical cases, and provide feedback. Yet awareness of AI’s limitations does not necessarily enable learners to evaluate individual outputs accurately. This correspondence distinguishes AI literacy and readiness from observed performance in judging AI-generated clinical information. Existing studies suggest that learners may struggle to identify inaccurate or misleading outputs, while findings on advice-taking and AI-supported teaching vary by task and outcome. General warnings and self-reported readiness scores alone cannot demonstrate reliable appraisal of a particular recommendation. Medical education therefore needs a clearer account of what constitutes context-sensitive evaluation of AI-generated information and how such judgement should be recognized.
شمارهی مقاله: 11
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آموزش پزشکی دریافت: 1405/8/3 | پذیرش: 1405/8/10 | انتشار: 1405/8/10