Medical students’ perceptions towards artificial intelligence in education and practice: A multinational, multicenter cross-sectional study

Felix Busch, Lena Hoffmann, Daniel Truhn, Esteban Ortiz-Prado, Marcus R. Makowski, Keno K. Bressem, Lisa C. Adams, COMFORT Consortium
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Abstract

Background Artificial intelligence (AI) is anticipated to fundamentally change the educational and professional landscape for the next generation of physicians, but its successful integration depends on the global perspectives of all stakeholders. Previous medical student surveys were limited by small sample sizes or geographic constraints, hindering a global comparison of perceptions. This study aims to explore current medical students’ attitudes towards AI in medical education and the profession on a broad, international scale and to examine regional differences in perspectives.
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医学生对教育和实践中人工智能的看法:一项跨国多中心横断面研究
背景 人工智能(AI)预计将从根本上改变下一代医生的教育和职业前景,但其能否成功整合取决于所有利益相关者的全球视角。以往的医学生调查受限于样本量小或地域限制,无法对全球的看法进行比较。本研究旨在从广泛的国际范围内探讨当前医学生对医学教育和医学专业中的人工智能的态度,并研究观点的地区差异。
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