[1] 闻德亮,李鸿鹤,宋鑫智. 基于科学引文数据库的医学教育研究前沿分析(2024)[J]. 中华医学教育杂志,2024,44(10):726-732. DOI:10.3760/cma.j.cn115259-20240411-00383. [2] 闻德亮, 李鸿鹤, 宋鑫智. 基于科学引文数据库的医学教育研究前沿分析(2023)[J].中华医学教育杂志,2023,43(12):881-886. DOI: 10.3760/cma.j.cn115259-20230331-00349. [3] 中国科学院科技战略咨询研究院, 中国科学院文献情报中心, 科睿唯安. 《2024研究前沿》报告在京发布[EB/OL].(2024-11-29)[2025-04-08]. https://www.cas.cn/cm/202411/t20241129_5040829.shtml. [4] Venkataraman S, Nguyen M, Chaudhry SI, et al. Racial and ethnic discrimination and medical students′ identity formation[J]. JAMA Netw Open, 2024,7(10):e2439727. DOI: 10.1001/jamanetworkopen.2024.39727. [5] Suarez D, Sawatsky A. Navigating identity dissonance: subjectification to balance socialization[J]. Adv Health Sci Educ Theory Pract, 2025,30(2):571-578. DOI: 10.1007/s10459-024-10356-w. [6] Schubert S, Hunt C, Monrouxe LV. A scoping review and theory-informed conceptual model of professional identity formation in medical education: commentary from a clinical psychology perspective[J]. Med Educ, 2024,58(10):1138-1139. DOI: 10.1111/medu.15471. [7] Chugh N, Kim K, Kelly-Hedrick M, et al. Impact of diversity representation in art on pre-health professions students′ sense of belonging: a randomized experimental study[J]. BMC Med Educ, 2024,24(1):1499. DOI: 10.1186/s12909-024-06532-6. [8] Wang Y, Chen Y, Sheng J. Assessing ChatGPT as a medical consultation assistant for chronic hepatitis B: cross-language study of English and Chinese[J]. JMIR Med Inform, 2024,12:e56426. DOI: 10.2196/56426. [9] Xu T, Weng H, Liu F, et al. Current status of ChatGPT use in medical education: potentials, challenges, and strategies[J]. J Med Internet Res, 2024,26:e57896. DOI: 10.2196/57896. [10] Zhui L, Yhap N, Liping L, et al. Impact of large language models on medical education and teaching adaptations[J]. JMIR Med Inform, 2024,12:e55933. DOI: 10.2196/55933. [11] Zhui L, Fenghe L, Xuehu W, et al. Ethical considerations and fundamental principles of large language models in medical education: viewpoint[J]. J Med Internet Res, 2024,26:e60083. DOI: 10.2196/60083. [12] Desai SV, Burk-Rafel J, Lomis KD, et al. Precision education: the future of lifelong learning in medicine[J]. Acad Med, 2024,99(4S Suppl 1):S14-S20. DOI: 10.1097/ACM.0000000000005601. [13] Garibaldi BT, Hollon MM, Woodworth GE, et al. Navigating the landscape of precision education: insights from on-the-ground initiatives[J]. Acad Med, 2024,99(4S Suppl 1):S71-S76. DOI: 10.1097/ACM.0000000000005606. [14] Warm EJ, Kinnear B, Knopp MI, et al. Ambulatory long block: a model of precision education and assessment for internal medicine residents[J]. Acad Med, 2024,99(4S Suppl 1):S57-S63. DOI: 10.1097/ACM.0000000000005610. [15] Marcotte K, Manriquez JAN, Hunt M, et al. Trainees′ perspectives on the next era of assessment and precision education[J]. Acad Med, 2024,99(4S Suppl 1):S25-S29. DOI: 10.1097/ACM.0000000000005602. [16] Richardson J, Santen SA, Mejicano GC, et al. Learner assessment and program evaluation: supporting precision education[J]. Acad Med, 2024,99(4S Suppl 1):S64-S70. DOI: 10.1097/ACM.0000000000005599. [17] Cheung WJ, Bhanji F, Gofton W, et al. Design and implementation of a national program of assessment model-integrating entrustable professional activity assessments in Canadian specialist postgraduate medical education[J]. Perspect Med Educ, 2024,13(1):44-55. DOI: 10.5334/pme.956. [18] Woodworth GE, Goldstein ZT, Ambardekar AP, et al. Development and pilot testing of a programmatic system for competency assessment in US anesthesiology residency training[J]. Anesth Analg, 2024,138(5):1081-1093. DOI: 10.1213/ANE.0000000000006667. [19] Frank JR, Karpinski J, Sherbino J, et al. Competence by design: a transformational national model of time-variable competency-based postgraduate medical education[J]. Perspect Med Educ, 2024,13(1):201-223. DOI: 10.5334/pme.1096. [20] Schumacher DJ, Kinnear B, Burk-Rafel J, et al. The next era of assessment: can ensuring high-quality, equitable patient care be the defining characteristic?[J]. Acad Med, 2024,99(4S Suppl 1):S7-S13. DOI: 10.1097/ACM.0000000000005603. [21] Jiang N, Jiang Z, Huang Y, et al. Application of augmented reality models of canine skull in veterinary anatomical education[J]. Anat Sci Educ, 2024,17(3):546-557. DOI: 10.1002/ase.2372. [22] Teo EYL, Choo SZL, Lin G, et al. Immersive virtual reality as a surgical training tool: a cohort study[J]. Heliyon, 2024,10(11):e31692. DOI: 10.1016/j.heliyon.2024.e31692. [23] Petruse RE, Grecu V, Gaki M, et al. Exploring the efficacy of mixed reality versus traditional methods in higher education: a comparative study[J]. Appl Sci, 2024, 14(3): 1050.DOI:10.3390/app14031050. [24] García-Robles P, Cortés-Pérez I, Nieto-Escámez FA, et al. Immersive virtual reality and augmented reality in anatomy education: a systematic review and meta-analysis[J]. Anat Sci Educ, 2024,17(3):514-528. DOI: 10.1002/ase.2397. [25] Sun R, Wang Y, Wu Q, et al. Effectiveness of virtual and augmented reality for cardiopulmonary resuscitation training: a systematic review and meta-analysis[J]. BMC Med Educ, 2024,24(1):730. DOI: 10.1186/s12909-024-05720-8. [26] Shahrani AA, Alhumaidan N, AlHindawi Z, et al. Readiness to embrace artificial intelligence among medical students in saudi arabia: a national survey[J]. Healthcare (Basel), 2024,12(24):2504.DOI: 10.3390/healthcare12242504. [27] Angkurawaranon S, Inmutto N, Bannangkoon K, et al. Attitudes and perceptions of Thai medical students regarding artificial intelligence in radiology and medicine[J]. BMC Med Educ, 2024,24(1):1188. DOI: 10.1186/s12909-024-06150-2. [28] Jong M. Transforming medical education in the AI era: balancing technological expertise with humanistic care in tomorrow′s doctors[J]. Ann Acad Med Singap,2024,53(12):754-757. DOI:10.47102/annals-acadmedsg.2024163. [29] Balasooriya C. AI in education: a futuristic vision[J]. Med Teach, 2024,46(7):986-988. DOI: 10.1080/0142159X.2024.2352160. [30] Ashraf N, Arabi TZ, Dabaliz A, et al. Assessing the prevalence of generalized anxiety disorder in a multicultural medical education setting in Saudi Arabia during the COVID-19 pandemic[J]. Front Psychiatry, 2024,15:1359348. DOI: 10.3389/fpsyt.2024.1359348. [31] Hsu C, Chuang S. Comparative analysis of learning motivation, strategies, and effectiveness between medical interns and PGY during the pandemic[J]. Medicine (Baltimore), 2024,103(37):e39604. DOI: 10.1097/MD.0000000000039604. [32] Alrumi N. The impact of COVID-19 on medical education and training[J]. Br J Hosp Med (Lond), 2024,85(5):1-7. DOI: 10.12968/hmed.2023.0462. [33] Tan SMJ, Coffey MJ, Blazek K, et al. Serious games vs. traditional tutorials in the pandemic: a randomised controlled trial[J]. Front Med (Lausanne), 2024,11:1424024. DOI: 10.3389/fmed.2024.1424024. [34] Triola MM, Burk-Rafel J. Precision medical education[J]. Acad Med, 2023,98(7):775-781. DOI: 10.1097/ACM.0000000000005227. [35] Burk-Rafel J, Triola MM. Precision medical education: institutional strategies for successful implementation[J]. Acad Med, 2025,100(6):655-660. DOI: 10.1097/ACM.0000000000005980. [36] 孙宝志. 医学精准教育概念的提出及启示[J]. 医学与哲学,2024,45(19):63-67. DOI:10.12014/j.issn.1002-0772.2024.19.13. |