Zhou Yuankai, Zhao LiuFeng, Mi Liangyu, Liu Shengjun, Yang Yingying, Wang Qianlin, He Huaiwu, Long Yun
Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Artificial Intelligence Laboratory, Big Data Academy ZhongKe, Zhengzhou, China.
BMC Med Educ. 2025 Aug 29;25(1):1225. doi: 10.1186/s12909-025-07825-0.
BACKGROUND: This study explored the use of Generative Artificial Intelligence (GAI) by Chinese academic physicians in clinical teaching activities within standardized residency training (TA-SRT) in critical care settings, and their awareness of ethical issues associated with GAI. The findings of this study will guide the rationale for GAI applications and sustainable integration into medical education. METHODS: This nationwide cross-sectional study utilized a self-administered questionnaire distributed via the Wenjuanxing platform to attending and higher-ranking physicians in critical care medicine departments across China who were involved in TA-SRT. Data were collected from December 2024 to January 2025. RESULTS: Among 456 enrolled academic physicians, 64.7% used GAI in clinical medical work and 33.1% used it in TA-SRT (GAI-User). GAI-Users reported higher training levels of GAI ( < 0.0001) and were more supportive of increased GAI training ( = 0.0368 and 0.0064, respectively). They also showed greater trust in the GAI judgment ( < 0.0001) and optimism regarding its application. Top GAI uses included querying teaching content (79.5%) and creating teaching materials (65.6%). Over 50% of physicians were aware of ethical issues, with “over-reliance” (85.7%) and “data privacy” (84.0%) being major concerns. Most agreed ethics should be part of GAI education (94.3%). CONCLUSIONS: Although awareness of GAI is growing among Chinese academic physicians in critical care, its practical use in clinical teaching remains limited. These academic physicians acknowledge GAI’s potential to enhance clinical teaching quality and promote educational equity. To foster broader adoption, cultivating the clinical application skills of GAI is essential to lay the foundation for its educational use. Additionally, GAI training programs should integrate both practical application skills and ethical education, which are widely supported by academic physicians, to guide the rationale and sustainable integration of GAI into medical education. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-025-07825-0.
背景：本研究探讨了中国学术型医生在重症监护环境下的标准化住院医师培训（TA-SRT）临床教学活动中对生成式人工智能（GAI）的使用情况，以及他们对与GAI相关伦理问题的认识。本研究的结果将为GAI应用的基本原理及其可持续融入医学教育提供指导。 方法：这项全国性横断面研究采用通过问卷星平台发放的自填式问卷，对中国各地重症医学科参与TA-SRT的主治医师及更高级别的医生进行调查。数据收集时间为2024年12月至2025年1月。 结果：在456名参与研究的学术型医生中，64.7%在临床医疗工作中使用GAI，33.1%在TA-SRT中使用GAI（GAI使用者）。GAI使用者报告的GAI培训水平更高（<0.0001），并且更支持增加GAI培训（分别为=0.0368和0.0064）。他们对GAI的判断也表现出更大的信任（<0.0001），并对其应用持乐观态度。GAI的主要用途包括查询教学内容（79.5%）和创建教学材料（65.6%）。超过50%的医生意识到伦理问题，主要担忧为“过度依赖”（85.7%）和“数据隐私”（84.0%）。大多数人同意伦理应该成为GAI教育的一部分（94.3%）。 结论：尽管中国重症监护领域的学术型医生对GAI的认识在不断提高，但其在临床教学中的实际应用仍然有限。这些学术型医生认可GAI在提高临床教学质量和促进教育公平方面的潜力。为了促进更广泛的应用，培养GAI的临床应用技能对于为其教育应用奠定基础至关重要。此外，GAI培训项目应将实际应用技能和伦理教育相结合，这得到了学术型医生的广泛支持，以指导GAI融入医学教育的基本原理和可持续性。 补充信息：在线版本包含可在10.1186/s12909-025-07825-0获取的补充材料。
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