Research on the Training Path of Medical- Engineering Interdisciplinary Talents Empowered by Artificial Intelligence

erd

Education Reform and Development

2652-53642652-5372

Bio-Byword Scientific Publishing Pty. Ltd.

10.26689/erd.v8i6.15619

Article

Research on the Training Path of Medical- Engineering Interdisciplinary Talents Empowered by Artificial Intelligencehttps://artdesignp.com/journal/erd/8/6/10.26689/erd.v8i6.15619SunZhanquan,LiFeng,FuDongxiang,TianYing,YinZhong

2026

2026-07-20

As a core component of national strategies, interdisciplinary integration is critical to cultivating innovative interdisciplinary talents and promoting scientific and technological progress. Medical-engineering talent training has become a key focus of higher education reform and has been widely explored by domestic universities. However, its systematic construction still faces prominent problems, including insufficient top-level curriculum design, underdeveloped industry-education integration platforms, inadequate faculty collaboration mechanisms, and incomplete diversified talent evaluation systems. By reviewing typical domestic and foreign medical-engineering talent training models and integrating cutting-edge artificial intelligence technologies, this study explores innovative mechanisms and practical training paths for the intelligent era. It proposes four optimization approaches: intelligent teaching content generation driven by multimodal large models, practical teaching innovation supported by AI virtual simulation and intelligent design, personalized teaching realized through large model-based academic diagnosis and adaptive learning, and an integrated talent evaluation system constructed via multi-dimensional data and intelligent algorithms. This research provides theoretical references and practical guidance for building a high-level medical-engineering interdisciplinary talent training system in Chinese universities.

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