Current status, challenges, and prospects of artificial intelligence application in medical education

Yuan Jinxian; Li Jinzheng

doi:10.3760/cma.j.cn116021-20240711-02049

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Current status, challenges, and prospects of artificial intelligence application in medical education

Educational Research | 更新时间：2025-07-01

- Current status, challenges, and prospects of artificial intelligence application in medical education
- Chinese Journal of Medical Education Research Vol. 24, Issue 6, Pages: 777-783(2025)
- 作者机构：
  
  1.重庆医科大学附属第二医院神经内科，重庆 400010
  2.重庆医科大学附属第二医院肝胆外科，重庆 400010
- 作者简介：
  
  Li Jinzheng, Email: lijinzheng@hospital.cqmu.edu.cn
- 基金信息：
  
  Chongqing Municipal Education Commission Higher Education Teaching Reform Research Project(243096);Education Teaching Reform Research Project of Chongqing Medical University(JY20230205)
- DOI：10.3760/cma.j.cn116021-20240711-02049
  CLC： R-05
- Received：11 July 2024，
  
  Published：20 June 2025
- 稿件说明：
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袁靳闲, 李金政. 人工智能应用于医学教育的现状、挑战与前景[J]. 中华医学教育探索杂志, 2025, 24(6): 777-783.

Yuan Jinxian, Li Jinzheng. Current status, challenges, and prospects of artificial intelligence application in medical education[J]. Chinese journal of medical education research, 2025, 24(6): 777-783.
袁靳闲, 李金政. 人工智能应用于医学教育的现状、挑战与前景[J]. 中华医学教育探索杂志, 2025, 24(6): 777-783. DOI： 10.3760/cma.j.cn116021-20240711-02049.

Yuan Jinxian, Li Jinzheng. Current status, challenges, and prospects of artificial intelligence application in medical education[J]. Chinese journal of medical education research, 2025, 24(6): 777-783. DOI： 10.3760/cma.j.cn116021-20240711-02049.

摘要

本文通过详细阐述人工智能（artificial intelligence，AI）的概念、AI在医学领域及医学教育领域的发展、AI应用于医学教育的价值意义及策略与工具，向读者全面展示了AI在医学教育中的应用现状。同时，深入分析AI在医学教育应用中面临的一系列挑战，包括基础设施和技术框架不完善、结构化课程缺乏、医生/学生与系统设计者之间存在知识鸿沟等。对于未来前景，AI在医学教育中的应用需要伦理保障与专业培训、医学教育将深度依赖AI技术革新、AI将推动医学教育领域更全面、更精准地评估、AI将促进医学教育方式及技能训练环境的变革。

Abstract

This article provides a comprehensive overview of the current application of artificial intelligence (AI) in medical education by elaborating on the concept of AI

its development in the medical field and medical education

and the value

significance

strategies

and tools for its application in medical teaching. Subsequently

an in-depth analysis reveals a series of challenges in the application of AI in medical education

including imperfect infrastructure and technical frameworks

lack of structured curricula

and a knowledge gap between doctors/students and system designers. Regarding the prospects

the article highlights that the application of AI in medical education requires ethical safeguards and professional training

medical education will deeply rely on AI technological innovations

AI will promote more comprehensive and precise assessments in the field of medical education

and AI will drive the transformation of medical teaching methods and skill training environment.

关键词

Keywords

references

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