中华医学教育杂志

中华医学教育杂志 >

2025 , Vol. 45 >Issue 9: 661 - 665

DOI: https://doi.org/10.3760/cma.j.cn115259-20240709-00717

人工智能在医学教育中的应用

基于科学引文数据库的医学教育领域生成式人工智能研究分析

  • 朱婧 ,
  • 王小飞 ,
  • 周洧冰 ,
  • 刘衡宇
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  • 1锦州医科大学马克思主义学院形势与政策教研室,锦州 121002;
    2锦州医科大学医学教育研究中心,锦州 121002;
    3锦州医科大学教学评估中心,锦州 121002

收稿日期: 2024-07-09

  网络出版日期: 2025-09-02

基金资助

2023年度辽宁省教育厅高校基本科研项目(1821240438);中华医学会医学教育分会和全国医学教育发展中心2023年医学教育研究立项课题(2023B137)

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Visual analysis of research on generative artificial intelligence in medical education based on scientific citation databases

  • Zhu Jing ,
  • Wang Xiaofei ,
  • Zhou Weibing ,
  • Liu Hengyu
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  • 1Department of Situation and Policy, School of Marxism, Jinzhou Medical University, Jinzhou 121002, China;
    2Medical Education Research Center, Jinzhou Medical University, Jinzhou 121002, China;
    3Teaching Evaluation Center, Jinzhou Medical University, Jinzhou 121002, China

Received date: 2024-07-09

  Online published: 2025-09-02

Supported by

2023 Liaoning Provincial Department of Education Basic Scientific Research Projects for Higher Education Institutions (1821240438); Chinese Medical Association Medical Education Branch and National Center for Health Professions Education Development 2023 Medical Education Research Project (2023B137)

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摘要

目的 分析2021至2024年生成式人工智能在医学教育领域的研究热点和未来发展趋势,为未来研究提供参考。方法 采用文献计量学方法,使用检索词“generative artificial intelligence”“medical education”“chatgpt”,并通过CiteSpace工具对科学引文数据库截至2024年6月11日发文量和关键词进行分析。结果 2021至2024年共检索到相关论文219篇,形成10个关键词聚类,分别为大型语言模型、可读性、医学生、生成式人工智能、医学教育、机器学习、自然语言处理、搜索、唇腭裂、专业发展。结论 生成式人工智能研究日益受到医学教育研究者的关注;专业语言模型的搭建、教学模式的构建、医学教学内容的探索是生成式人工智能在医学教育领域研究的热点主题与发展趋势。   

关键词： 教育,医学; 科学引文数据库; 生成式人工智能; CiteSpace; 知识图谱

本文引用格式

朱婧 , 王小飞 , 周洧冰 , 刘衡宇 . 基于科学引文数据库的医学教育领域生成式人工智能研究分析[J]. 中华医学教育杂志, 2025 , 45(9) : 661 -665 . DOI: 10.3760/cma.j.cn115259-20240709-00717

Abstract

Objective To analyze the research hotspots and future trends of generative artificial intelligence (AI) in the field of medical education from 2021 to 2024, providing a reference for future research. Methods Bibliometric methods were used with the search terms ″generative artificial intelligence″, ″medical education″, ″chatgpt″, and CiteSpace was used to analyze the number of articles and keywords published in the Science Citation Database up to June 11, 2024. Results A total of 219 articles were published from 2021 to 2024, forming 10 keyword clusters, namely large language models, readability, medical students, generative artificial intelligence, medical education, machine learning, natural language processing, search, cleft lip and palate, and professional development. Conclusions The research of generative AI in medical education is showing an upward trend. The construction of professional language models, the building of teaching models, and the exploration of medical teaching content are the hot topics and research trends in the field of generative artificial intelligence in medical education.

Key words： Education, medical; Science citation database; Generative artificial intelligence; CiteSpace; Knowledge graph

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