人工智能在全科医学教育中的应用现状和挑战及其应对策略

doi:10.3760/cma.j.cn115259-20250820-00983

中华医学教育杂志 ›› 2026, Vol. 46 ›› Issue (10): 761-764.DOI: 10.3760/cma.j.cn115259-20250820-00983

人工智能在全科医学教育中的应用现状和挑战及其应对策略

王欣宜¹, 朱俊勇², 吴彦瑞³, 王硕¹, 刘宇培³, 邱美琪¹, 谭宗标³, 刘传³, 李娇³, 季梦遥³, 张吉翔³, 董卫国³

¹武汉大学人民医院全科医学科,武汉 430060;
²武汉大学公共卫生学院,武汉 430071;
³武汉大学人民医院消化内科,武汉 430060

收稿日期:2025-08-20 出版日期:2026-10-01 发布日期:2026-09-30
通讯作者: 董卫国, Email: dongweiguo@whu.edu.cn

Application, challenges and countermeasures of artificial intelligence in general practice education

Wang Xinyi¹, Zhu Junyong², Wu Yanrui³, Wang Shuo¹, Liu Yupei³, Qiu Meiqi¹, Tan Zongbiao³, Liu Chuan³, Li Jiao³, Ji Mengyao³, Zhang Jixiang³, Dong Weiguo³

¹Department of General Practice, Renmin Hospital of Wuhan University, Wuhan 430060, China;
²School of Public Health, Wuhan University, Wuhan 430071, China;
³Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan 430060, China

Received:2025-08-20 Online:2026-10-01 Published:2026-09-30
Contact: Dong Weiguo, Email: dongweiguo@whu.edu.cn

摘要/Abstract

摘要： 人工智能(artificial intelligence,AI)正在逐步融入全科医学教育,并为教学模式创新和人才培养改革提供新的机遇。本文通过梳理国内外相关研究,总结AI在全科医学教育中的应用现状,包括AI教学工具应用、不同培养路径AI教学实践。同时,探讨AI融入全科医学教育过程中可能面临的学员思维能力弱化、规范与标准缺失以及数据隐私与伦理隐患等方面的挑战。本文提出构建分层递进的AI能力培养体系,完善教学标准与多维评价体系,并强化数据安全与AI伦理教育,以期为我国全科医学教育高质量发展提供参考。

关键词: 教育,医学, 人工智能, 全科医学教育, 应用现状, 应对策略

Abstract: Artificial intelligence (AI) is being gradually integrated into general practice education, providing new opportunities for innovation in teaching models and reform of talent training. Relevant studies from both domestic and international sources were systematically reviewed, and the current status of AI applications in general practice education was summarized, including the use of AI-enabled teaching tools and educational practices across different training pathways. In addition, several challenges in the integration of AI into general practice education were identified, including potential weakening of learners′ critical thinking abilities, insufficient standards and regulations, and risks related to data privacy and ethics. To address these issues, a stratified and progressive AI competency training system was proposed, along with improved teaching standards and multidimensional assessment systems, as well as strengthened education on data security and AI ethics, with the aim of informing the high-quality development of general practice education in China.

Key words: Education, medical, Artificial intelligence, General practice education, Current application status, Countermeasures

中图分类号:

王欣宜, 朱俊勇, 吴彦瑞, 王硕, 刘宇培, 邱美琪, 谭宗标, 刘传, 李娇, 季梦遥, 张吉翔, 董卫国. 人工智能在全科医学教育中的应用现状和挑战及其应对策略[J]. 中华医学教育杂志, 2026, 46(10): 761-764, DOI: 10.3760/cma.j.cn115259-20250820-00983.

Wang Xinyi, Zhu Junyong, Wu Yanrui, Wang Shuo, Liu Yupei, Qiu Meiqi, Tan Zongbiao, Liu Chuan, Li Jiao, Ji Mengyao, Zhang Jixiang, Dong Weiguo. Application, challenges and countermeasures of artificial intelligence in general practice education[J]. Chinese Journal of Medical Education, 2026, 46(10): 761-764, DOI: 10.3760/cma.j.cn115259-20250820-00983.

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人工智能在全科医学教育中的应用现状和挑战及其应对策略

Application, challenges and countermeasures of artificial intelligence in general practice education

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