Ahsan Zeeshan
Aga Khan University Hospital, Karachi, Pakistan.
BMC Med Educ. 2025 Aug 23;25(1):1187. doi: 10.1186/s12909-025-07744-0.
Artificial Intelligence (AI) is reshaping both healthcare delivery and the structure of medical education. This narrative review synthesizes insights from 14 studies exploring how AI is being integrated into undergraduate, postgraduate, and continuing medical education programs. The evidence highlights a wide range of applications, including diagnostic assistance, curriculum redesign, enhanced assessment methods, and streamlined administrative tasks. Nevertheless, several challenges persist-such as ethical dilemmas, the lack of validated curricula, limited empirical research, and infrastructural constraints-that hinder broader implementation. The protocol was registered with PROSPERO (ID: 1109025), and the review followed PRISMA 2020 guidelines. The findings emphasize the need for well-structured AI curricula, targeted faculty development, interdisciplinary collaboration, and ethically sound practices. To promote sustainable and equitable adoption, the review advocates for a phased, learner-centered approach tailored to the evolving demands of medical education.
人工智能(AI)正在重塑医疗服务的提供方式以及医学教育的结构。这篇叙述性综述综合了14项研究的见解,这些研究探讨了人工智能如何被整合到本科、研究生和继续医学教育项目中。证据凸显了广泛的应用,包括诊断辅助、课程重新设计、改进评估方法以及简化行政任务。然而,一些挑战依然存在,比如伦理困境、缺乏经过验证的课程、实证研究有限以及基础设施限制,这些都阻碍了更广泛的实施。该方案已在国际前瞻性系统评价注册库(PROSPERO)登记(ID:1109025),且该综述遵循了系统评价和Meta分析的首选报告项目(PRISMA)2020指南。研究结果强调了需要结构完善的人工智能课程、有针对性的教师发展、跨学科合作以及符合伦理的合理做法。为促进可持续和公平的采用,该综述倡导采用一种分阶段、以学习者为中心的方法,以适应医学教育不断变化的需求。