医学教育作为“健康中国”与“教育强国”两大国家战略的关键交汇点,正迎来与人工智能融合的不可逆转之势。回首过往,人工智能赋能医学教育已是大势所趋。立足当下,人工智能在重构医学教育生态方面展现出巨大潜力。教师角色从“知识守门人”转变为“学习编舞者”,重塑医学教育教学新范式;人工智能变革医学学习理念和模式,打造智能化未来医学教育环境,重构学生学习新形态;人工智能技术在临床技能评估和学术表现分析方面展现出独特优势,重建医学考核新模式;然而,伴随而来的知识生产和传播方式的挑战与限制不可忽视。展望未来,本研究立足于我国教育数字化战略集成化、智能化、国际化的新起点,结合医学教育自身特征,提出启动人工智能赋能医学教育行动,积极推动医学教育赋能下的深刻变革和战略转型。以期医学教育工作者在充分利用人工智能技术引领作用的同时,坚守教育内在规律和育人基本属性,推动医学教育的创新与变革,应对人工智能时代的机遇与挑战。
Medical education, as a critical intersection of the national strategies of “Healthy China” and “Educational Power” is experiencing an irreversible trend of integration with artificial intelligence (AI). Reflecting on the past, it is evident that AI empowerment in higher medical education has become an inevitable trend. At present, AI demonstrates immense potential in reshaping ecosystem of medical education.The role of teachers is shifting from “guardians of knowledge” to “learning choreographers”, which is reshaping a new paradigm for medical education. AI is transforming medical learning concepts and models, creating an intelligent future medical education environment and reshaping new forms of student learning. AI demonstrates unique advantages in clinical skills assessment and academic performance analysis, reconstructing a new model for medical evaluations. However, the accompanying challenges and limitations in knowledge production and dissemination cannot be overlooked. Looking to the future, the development of AI in medical education is poised to advance around the themes of ″Integration, Intelligence and International″, and combines the characteristics of medical education to propose the initiation of an action plan for AI-powered medical education, actively promoting profound changes and strategic transformation enabled by medical education. Medical educators should leverage the leading role of AI while adhering to the inherent principles of education and the fundamental attributes of nurturing individuals, thereby promoting innovation and transformation in medical education to meet the opportunities and challenges of the new era.
[1] 教育部.国家教育数字化战略行动2025年部署会召开[EB/OL]. (2025-03-28)[2025-12-23] . http://www.moe.gov.cn/jyb_zzjg/huodong/202503/t20250328_1185222.html.
[2] 贾萌, 张瑛琪, 李云峰, 等. 医学人工智能教育的研究进展[J].医学教育研究与实 践,2023,31(1):1-6. DOI: 10.13555/j.cnki.c.m.e.2023.01.001.
[3] 谢文加,王筝扬. 人工智能在毕业后医学教育中的应用与挑战[J]. 中华医学教育杂志,2025,45(3):187-193. DOI:10.3760/cma.j.cn115259-20240715-00736.
[4] 刘禧澳,倪松智,吴浩然,等. 生成式人工智能在骨科医学教育中的实践应用进展[J]. 现代医药卫生,2025,41(10):2411-2416. DOI:10.3969/j.issn.1009-5519.2025.10.029.
[5] 郑庆华.人工智能赋能创建未来教育新格局[J].中国高教研究, 2024(3):1-7. DOI:10.16298/j.cnki.1004-3667.2024.03.01.
[6] Frenk J, Chen L, Bhutta ZA, et al. Health professionals for a new century: transforming education to strengthen health systems in an interdependent world[J]. Lancet, 2010,376(9756):1923-1958. DOI: 10.1016/S0140-6736(10)61854-5.
[7] 王维民. 新科技革命背景下的医学教育范式转型[J]. 中华医学教育杂志, 2024, 44(6):401-406. DOI: 10.3760/cma.j.cn115259-20240405-00352.
[8] 习近平在中共中央政治局第九次集体学习时强调加强领导做好规划明确任务夯实基础推动我国新一代人工智能健康发展[J].党建,2018(11):1,19.
[9] Li B, Yan T, Pan Y, et al. MMedAgent: learning to use medical tools with multi-modal agent[EB/OL].[2024-06-12] .https://arxiv.org/pdf/2407.02483.
[10] Lu MY, Chen B, Williamson D, et al. A multimodal generative AI copilot for human pathology[J]. Nature, 2024,634(8033):466-473. DOI: 10.1038/s41586-024-07618-3.
[11] Wu C, Zhang X, Zhang Y, et al. The official codes for ″PMC-LLaMA: towards building open-source language models for medicine″ [EB/OL].(2023-04-20) [2024-06-12] . https://gitcode.com/chaoyi-wu/PMC-LLaMA/overview.
[12] 颜见智, 何雨鑫, 骆子烨, 等. 生成式大语言模型在医疗领域的潜在典型应用与面临的挑战[J].医学信息学杂志,2023,44(9):23-31.
[13] 沈静.慢阻肺合并呼吸衰竭虚拟病人仿真实验[EB/OL]. (2019-12-18)[2024-06-11] . https://www.ilab-x.com/details/page?id=4757.
[14] Wang M, Sun Z, Jia M, et al. Intelligent virtual case learning system based on real medical records and natural language processing[J]. BMC Med Inform Decis Mak, 2022,22(1):60. DOI: 10.1186/s12911-022-01797-7.
[15] 教育部高等教育司.教育部高等教育司关于公布首批“人工智能+高等教育”应用场景典型案例的通知[EB/OL]. (2024-04-12)[2024-06-11] . http://www.moe.gov.cn/s78/A08/tongzhi/202404/t20240417_1126075.html.
[16] 教育部高等教育司关于公布第二批“人工智能+高等教育”应用场景典型案例的通知[EB/OL].(2024-11-14)[2025-02-11] . http://www.moe.gov.cn/s78/A08/tongzhi/202411/t20241118_1163542.html.
[17] Cheung B, Lau G, Wong G, et al. ChatGPT versus human in generating medical graduate exam multiple choice questions-a multinational prospective study (Hong Kong S.A.R., Singapore, Ireland, and the United Kingdom)[J]. PLoS One, 2023,18(8):e0290691. DOI: 10.1371/journal.pone.0290691.
[18] Alfertshofer M, Hoch CC, Funk PF, et al. Sailing the seven seas: a multinational comparison of ChatGPT's performance on medical licensing examinations[J]. Ann Biomed Eng, 2024,52(6):1542-1545. DOI: 10.1007/s10439-023-03338-3.
[19] Wang H, Wu W, Dou Z, et al. Performance and exploration of ChatGPT in medical examination, records and education in Chinese: pave the way for medical AI[J]. Int J Med Inform, 2023,177:105173. DOI: 10.1016/j.ijmedinf.2023.105173.
[20] Booth GJ, Ross B, Cronin WA, et al. Competency-based assessments: leveraging artificial intelligence to predict subcompetency content[J]. Acad Med, 2023,98(4):497-504. DOI: 10.1097/ACM.0000000000005115.
[21] 国家互联网信息办公室等.生成式人工智能服务管理暂行办法[EB/OL]. (2024-07-13)[2024-10-28] . https://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm.
[22] 国务院办公厅.国务院办公厅关于印发《国务院2024年度立法工作计划》的通知[EB/OL]. (2024-05-09)[2024-10-28] . https://www.gov.cn/zhengce/zhengceku/202405/content_6950094.htm.
[23] Gordon M, Daniel M, Ajiboye A, et al. A scoping review of artificial intelligence in medical education: BEME Guide No. 84[J]. Med Teach, 2024,46(4):446-470. DOI: 10.1080/0142159X.2024.2314198.
[24] 冯晓英, 徐辛, 郭婉瑢. 如何理解,如何行动,如何成为?——人工智能时代教师专业发展的反思[J].开放教育研究,2024,30(2):31-41. DOI: 10.13966/j.cnki.kfjyyj.2024.02.004.
[25] 联合国教科文组织.教师人工智能能力框架[EB/OL]. (2024-09-03)[2024-10-28] . https://unesdoc.unesco.org/ark:/48223/pf0000391104.
[26] 眭依凡, 幸泰杞. 人才培养模式创新:人工智能时代大学的紧迫课题[J].中国高教研究,2024(3):8-16,21. DOI: 10.16298/j.cnki.1004-3667.2024.03.02.
[27] 怀进鹏.携手推动数字教育应用、共享与创新——在 2024 世界 数 字 教 育 大 会 上 的 主 旨 演 讲 [EB/OL].(2024-02-01)[2024-06-10] . http://www.moe.gov.cn/ jyb_xwfb/ moe_176/202402/t20240201_1113761.html.
[28] 王柯平.《理想国》的诗学研究[M].北京:北京大学出版社,2005:125.
[29] 吴岩.坚持应用为王,推动数据赋能教育变革创新[EB/OL]. (2024-05-31) [2024-06-11] . https://www.edu.cn/xxh/focus/li_lun_yj/202405/t20240531_2613593.shtml.