中华医学教育杂志 ›› 2026, Vol. 46 ›› Issue (7): 509-514.DOI: 10.3760/cma.j.cn115259-20250427-00476

• 教育技术 • 上一篇    下一篇

具身智能在医学教育中的应用现状与前景

程文杰, 律峰, 闵苏   

  1. 重庆医科大学附属第一医院麻醉科,重庆 400016
  • 收稿日期:2025-04-27 出版日期:2026-07-01 发布日期:2026-07-01
  • 通讯作者: 闵苏, Email: ms89011068@163.com
  • 基金资助:
    2022年重庆市技术创新与应用发展专项重点项目(CSTB2022TIAD-KPX0163);2025年重庆市研究生教育教学改革研究项目(yjg250087);2025年重庆市高等教育教学改革研究项目(252053)

The application and prospects of embodied artificial intelligence in medical education

Cheng Wenjie, Lyu Feng, Min Su   

  1. Department of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
  • Received:2025-04-27 Online:2026-07-01 Published:2026-07-01
  • Contact: Min Su, Email: ms89011068@163.com
  • Supported by:
    Chongqing Technology Innovation and Application Development Special Program Key Project in 2022 (CSTB2022TIAD-KPX0163), Chongqing Graduate Education Teaching Reform Research Project in 2025 (yjg250087), Chongqing Higher Education Teaching Reform Research Project in 2025 (252053)

摘要: 具身智能作为人工智能的重要分支,正在重塑医学教育的技术逻辑与人文内核。当前,具身智能在医学教育中的应用已经展现出显著潜力,为突破传统实践资源局限、缩短技能转化周期及构建沉浸式学习新范式提供了创新路径。然而,其发展仍然处于初级阶段,面临技术成熟度与普及度不足、人文维度显著缺失和评价体系相对滞后三重关键挑战。面向未来,具身智能在医学教育中的深化发展亟需构建“技术-人文”双轨驱动框架、建立动态多维评价体系和实施长效追踪。通过克服这些挑战,具身智能有望从当前的辅助工具升维为驱动医学教育范式变革的核心力量,为“健康中国”战略输送具有卓越临床胜任力的新一代医学人才。

关键词: 具身智能, 医学教育, 人工智能, 临床教学, 教育创新

Abstract: Embodied artificial intelligence (EAI), as a crucial branch of artificial intelligence, is reshaping the technological logic and humanistic core of medical education. Currently, the application of EAI in medical education has demonstrated significant potential, offering innovative pathways to overcome the limitations of traditional practical resources, shorten skill transfer cycles, and construct new immersive learning paradigms. However, its development remains in the primary stage, facing three critical challenges: insufficient technological maturity and accessibility, a significant deficiency in the humanistic dimension, and relatively lagging evaluation mechanisms. Looking ahead, the deepened development of EAI in medical education urgently requires: constructing a ″technology-humanism″ dual-track driven framework, establishing a dynamic multi-dimensional evaluation system, and implementing long-term tracking mechanisms. By overcoming these challenges, EAI holds the potential to evolve from its current role as an auxiliary tool into a core force driving paradigm shifts in medical education. This will contribute to cultivating a new generation of healthcare professionals with exceptional clinical competence for the Healthy China Initiative.

Key words: Embodied artificial intelligence, Medical education, Artificial intelligence, Clinical teaching, Educational innovation

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