中华医学教育杂志 ›› 2025, Vol. 45 ›› Issue (3): 167-173.DOI: 10.3760/cma.j.cn115259-20240529-00542

• 人工智能在医学教育中的应用 • 上一篇    下一篇

生成式人工智能在外科学教学领域中的应用与挑战

陈健聪1, 张昆松1, 黄锡泰1, 张赟建1, 冯劭婷2, 匡铭3   

  1. 1中山大学附属第一医院胆胰外科,广州 510080;
    2中山大学中山医学院教育处,广州 510080;
    3中山大学附属第一医院,广州 510080
  • 收稿日期:2024-05-29 出版日期:2025-03-01 发布日期:2025-03-04
  • 通讯作者: 匡铭, Email: kuangm@mail.sysu.edu.cn

Applications and challenges of generative artificial intelligence in surgical teaching

Chen Jiancong1, Zhang Kunsong1, Huang Xitai1, Zhang Yunjian1, Feng Shaoting2, Kuang Ming3   

  1. 1Department of Hepatopancreatic Surgery, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China;
    2Department of Education, Sun Yat-sen Medical College, Sun Yat-sen University, Guangzhou 510080;
    3The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
  • Received:2024-05-29 Online:2025-03-01 Published:2025-03-04
  • Contact: Kuang Ming, Email: kuangm@mail.sysu.edu.cn

摘要: 随着生成式人工智能技术的迅速发展,其在外科学教学领域的应用变得日益重要。本文综述了生成式人工智能在手术视频分析、手术机器人辅助、技能培训、临床思维培养、虚拟标准化病人互动、个性化学习路径设计、知识图谱整合、多模态学习体验构建和数字孪生技术模拟等外科学教学领域中的应用。同时,本文也探讨了伴随这些技术应用而来的伦理、法律和社会问题,以及技术本身的挑战和未来发展的方向。

关键词: 专业,外科, 生成式人工智能, 临床医学教育, 技能培训, 个性化学习, 知识图谱, 多模态学习, 数字孪生

Abstract: With the rapid development of generative AI (GenAI) technology, its application in the field of surgical teaching becomes increasingly important. This article reviews the applications of GenAI in surgical professional education areas such as surgery video analysis, robotic surgery assistance, surgical skills training, clinical thinking development, virtual standardized patient (SP) interaction, personalized learning path design, knowledge graph integration, multimodal learning experience construction, and digital twin technology simulation. At the same time, the article also explores the ethical, legal, and social issues that accompany the application of these technologies, as well as the challenges of the technologies themselves and the directions for future development.

Key words: Specialties, surgical, Generative artificial intelligence, Clinical medical education, Skills training, Personalized learning, Knowledge graph, Multimodal learning, Digital twin

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