医学教育管理

• 临床教学 • 上一篇    下一篇

AI医学影像：双螺旋教学模式的实践与思考

  

  1. 1.复旦大学附属华山医院放射科，上海 200040； 2.复旦大学附属华山医院教育处，上海 200040； 3.复旦大学人工智能创新与产业研究院，上海 201203
  • 收稿日期:2025-04-14 修回日期:2025-07-26 出版日期:2026-07-01 发布日期:2026-07-01
  • 基金资助:
     2024年复旦大学AIT《AI在医学影像的多场景应用》建设项目（IAH6281007/086）

AI medical imaging: practice and reflection on the double helix teaching model

  1. 1. Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China;2.Education Department, Huashan Hospital, Fudan University, Shanghai 200040, China;3. Institute of Artificial Intelligence Innovation and Incubation, Fudan University, Shanghai 201203, China
  • Received:2025-04-14 Revised:2025-07-26 Online:2026-07-01 Published:2026-07-01

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摘要：  目前人工智能（artificial intelligence，AI）已深入临床应用，传统教学培养方式亟待革新。本研究以双螺旋教学模式为理论指导，基于AI医学影像课程实践，将AI垂域应用与教学创新相融合。该模式强调“知识链”与“能力链”的互嵌协同，“知识链”垂直整合医学影像知识与AI算法，“能力链”横向贯通临床问题发现与工程实践转化。该模式旨在培养学生以应用为导向的学习模式，突破传统知识框架局限，转向兼具临床思维深度与技术落地广度的跨学科能力提升。该双螺旋模式有望为智能时代医学人才培养提供新路径。

Abstract:

 Given the pervasive integration of artificial intelligence into clinical applications, there is an urgent need for innovation in traditional teaching and training methods. Adhering to the double helix teaching model, This study integrates AI vertical domain applications with pedagogical innovation through practical AI medical imaging courses. This model emphasizes the interwoven synergy between the "knowledge chain" and the "capability chain". The knowledge chain employs a vertical integration of medical imaging knowledge with AI algorithms, while the capability chain facilitates a horizontal bridging of clinical problem identification with engineering practice translation. The objective of this initiative is to cultivate an application-oriented learning approach among students, thereby liberating them from the constraints imposed by traditional knowledge frameworks. This is intended to foster interdisciplinary capabilities that combine clinical depth with technological breadth. The double helix model is expected to offer a potential new pathway for the training of medical professionals in the intelligent era.

Key words:  , medical imaging｜ artificial intelligence｜thematic applications｜ teaching model｜ talent cultivation

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