人工智能推动医学教育改革的现状与展望  

Current status and prospects of AI-driven reforms in medical education

作　　者：刘成程 寻萌 韩蕾[1] 秦棪楠[2] LIU Chengcheng;XUN Meng;HAN Lei;QIN Yannan(Department of Pathogenic Microbiology and Immunology,School of Basic Medical Sciences,Xi'an Jiaotong University Health Science Center,Xi'an 710061,China)

机构地区：[1]西安交通大学基础医学院病原生物学与免疫学系,西安710061 [2]西安交通大学基础医学院细胞生物学与遗传学系

出　　处：《基础医学教育》2024年第10期890-894,共5页Basic Medical Education

基　　金：西安交通大学本科教学改革研究基金资助项目(2034Y)。

摘　　要：文章整理和总结了人工智能(AI)技术在医学教育中的应用现状,分析了其在提高教学效率、增强学习体验和实现个性化教育方面的优势。研究表明,AI技术通过智能系统和虚拟现实技术提供实时反馈和个性化学习路径,显著提升了学生对复杂知识点的掌握和实践技能。同时,AI技术在实验教学中的应用,如虚拟实验室和模拟手术平台,提高了学生的实验操作能力和临床技能。然而,AI技术的应用也面临着技术成本高、教师培训不足和数据隐私等挑战。文章进一步探讨了AI技术在医学教育中的应用前景,为未来研究和应用提供了参考。This article reviews the application of artificial intelligence(AI)in medical education,and discusses its advantages in improving teaching efficiency,enhancing learning experiences,and realizing personalized education.AI technologies,including intelligent systems and virtual reality,offer real-time feedback and personalized learning paths,thereby they can significantly enhance students’comprehension of complex concepts and improve their practical skills.AI can also be applied to experimental teaching,such as virtual laboratories and simulated surgical platforms,to improve students’operational skills and clinical competencies.However,as to the application of AI,there are also challenges of high technological costs,insufficient teacher training,and data privacy concerns.This article then discusses the prospects of AI in medical education,providing references for future research and application.

关 键 词：高等教育 医学教育 教学改革 人工智能 个性化教育 实验教学 

分 类 号：R3[医药卫生—基础医学]