医学研究与教育 ›› 2026, Vol. 43 ›› Issue (2): 70-80.DOI: 10.3969/j.issn.1674-490X.2026.02.009

• 教育教学 • 上一篇    

“人工智能+医学影像技术”跨学科人才培养

员锐娟   

  1. 天津医科大学临床医学院, 天津 300270
  • 收稿日期:2025-02-11 发布日期:2026-04-30
  • 作者简介:员锐娟(1987—),女,天津人,讲师,硕士,主要从事医学影像技术研究。 E-mail: yunruijuan1987@163.com
  • 基金资助:
    天津市教育工作重点调研课题(JYDY-20212011)

Interdisciplinary education of “artificial intelligence + medical imaging technology”

YUN Ruijuan   

  1. Clinical Medicine College of Tianjin Medical University, Tianjin 300270, China
  • Received:2025-02-11 Published:2026-04-30

摘要: 5G时代的到来和人工智能全球化,给人类社会带来了巨大变革。国务院印发的《新一代人工智能发展规划》,将人工智能提升到国家战略层面,高度重视人工智能与各科专业教育的交叉融合。国家卫生健康委员会等三部门印发的《卫生健康行业人工智能应用场景参考指引》,为人工智能与医疗健康相结合提供了明确的应用场景和发展方向。为应对人工智能对传统医学影像技术教学的冲击,解决社会对复合型、多学科背景人才的需求,旨在探讨“人工智能+医学影像技术”的跨学科培养模式,培养出一批既具备医学影像技术专业知识,又掌握人工智能技术的复合型人才,为医学影像智慧检查、智能分析、智能诊断提供更多专业人才,进一步推进人工智能在医学影像中的应用。

关键词: 人工智能, 医学影像技术, 跨学科人才培养

Abstract: The advent of the 5G era and the globalization of artificial intelligence have brought about tremendous changes to human society. The “new generation artificial intelligence development plan” issued by the state council has elevated artificial intelligence to the national strategic level, attaching great importance to the cross-integration of artificial intelligence and various professional education. The “reference guidelines for artificial intelligence application scenarios in the health industry” issued by the national health commission and other three departments have provided clear application scenarios and development directions for the combination of artificial intelligence and medical and health care. In order to cope with the impact of artificial intelligence on traditional medical imaging technology teaching and meet the social demand for compound and multi-disciplinary background talents, this paper studies and explores the interdisciplinary training model of “artificial intelligence + medical imaging technology”, aiming to cultivate a group of composite talents who possess both professional knowledge of medical imaging technology and mastery of artificial intelligence technology, providing more professional talents for intelligent medical imaging examination, analysis and diagnosis, and further promoting the application of artificial intelligence in medical imaging.

Key words: artificial intelligence, medical imaging technology, interdisciplinary education

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