医学分子生物学杂志 ›› 2026, Vol. 23 ›› Issue (3): 367-374.doi: 10.3870/j.issn.1672-8009.2026.03.019

• 医学教育 • 上一篇    

人工智能驱动医学教育聚焦内容及演化趋势的知识图谱构建:2010~2024年文献计量学分析

崔洪全, 王银玲, 叶娟, 曹龙女, 于乐林   

  1. 上海交通大学医学院苏州九龙医院 江苏省苏州市,215000
  • 收稿日期:2025-07-07 发布日期:2026-06-01
  • 通讯作者: 曹龙女(E-mail:soochoucao@126.com),于乐林(E-mail:yulelin@163.com)
  • 基金资助:
    苏州市卫生青年骨干人才“全国导师制”培训项目(No.Qngg2022064),苏州市科技计划项目(No.SYWD2025013、No.SYWD2025396、No.SYWD2024227)

Knowledge Graph Construction of Focused Content and Evolutionary Trends in Artificial Intelligence-Driven Medical Education:a Bibliometric Analysis,2010-2024

CUI Hongquan, WANG Yinling, YE Juan, CAO LongnvΔ, YU LelinΔ   

  1. Suzhou Jiulong Hospital,School of Medicine,Shanghai Jiao Tong University,Suzhou,Jiangsu,215000,China
  • Received:2025-07-07 Published:2026-06-01
  • Contact: CAO Longnv(E-mail:soochoucao@126.com),YU Lelin(E-mail:yulelin@163.com)
  • Supported by:
    Suzhou Municipal Health System“National Mentorship Program”for Young Talents(No.Qngg2022064),Suzhou Municipal Science and Technology Program(No.SYWD2025013,No.SYWD2025396,No.SYWD2024227)

摘要: 目的 以知识图谱构建方式梳理展示人工智能(artificial intelligence,AI)在医学教育中的现状、发展趋势和主题演变过程,为医学教育应用人工智能方向研究提供参考。方法 检索并阅读2010~2024年Web of Science核心文献524篇,分别应用VOSviewer软件、Citespace软件和R语言bibliometrix包分析AI在医学教育领域高影响力作者及研究团队、目前聚焦内容和研究内容的演变过程。结果 AI驱动医学教育发展自2018年呈现出明显增长态势;该领域已形成一些稳定的核心研究团队,各团队内部合作强度较大,但各大型团队间合作较为疏松;梅奥诊所是当前该领域全球发文量最多的研究机构,发文量较多的机构间合作较为紧密;中国在相关主题的发文量目前位居世界第二;此外,关键词聚类和研究主题演变历程分析结果显示,近2年医学教育的AI应用研究热点主要集中在大语言模型、机器学习和虚拟手术等方面。结论 AI在医学教育领域的应用正经历从辅助工具向智能赋能体系的转型,AI有望推动医学教育向智能化、精准化和个性化方向发展。

关键词: 人工智能, 医学教育, VOSviewer, bibliometrix, 可视化分析

Abstract: Objective To comb and show the current situation,development trend and theme evolution process of artificial intelligence(AI)in medical education by knowledge map construction,to provide reference for the research on the direction of AI applied to medical education. Methods We searched and read 524 core documents of Web of Science from 2010 to 2024,and applied VOSviewer software,Citespace software and R language biblimetrix package respectively to analyse the evolution process of high-influence authors and research teams of AI in the field of medical education,and the current focus content and research content.evolutionary process. Results The AI-driven development of medical education has shown a marked upward trend since 2018;the field has established several stable core research teams,with strong internal collaboration within each team,though cooperation among large teams remains relatively loose;the Mayo Clinic is currently the research institution with the highest global publication output in this field,and collaboration is particularly close among institutions with high publication volumes;China currently ranks second in the world in terms of publication output on related topics;Furthermore,results from keyword clustering and the analysis of research topic evolution indicate that,over the past two years,research hotspots in the application of artificial intelligence to medical education have primarily shifted toward large language models,machine learning,and virtual surgery. Conclusion The application of AI in medical education is undergoing a transformation from auxiliary tools to intelligent empowerment systems,holding promise for advancing medical education toward greater intelligence,precision,and personalization.

Key words: artificial intelligence, medical education, VOSviewer, biblimetrix, visualisation analysis

中图分类号: