Comparative Study of Typical Models in Medical AI Education in Jiangsu Province: An Exploration of Integration, Innovation, and Inclusiveness Paradigms

Abstract

Abstract: Based on the educational application of artificial intelligence in medicine, this paper conducts an in-depth analysis of practical cases of medical AI education in Jiangsu Province, comparing the characteristics of three typical models: integrated, innovative, and inclusive. Through innovative practices in three types of medical AI education models—university model, hospital model, and grassroots model—a multi-level, scenario-based, and sustainable smart medical education ecosystem has been constructed. Key findings indicate that university-integrated model enhances the combination of fundamental teaching with AI technology, hospital-training model focuses on clinical problem-oriented practice, and grassroots-inclusive model leverages platforms to expand the coverage of high-quality resources.

Key words: Artificial intelligence, Medicine, AI education, Model comparison, Paradigm exploration, Integration, Innovation

CLC Number:

R-4
G642

XIAO Shunhua, LU Lu, MEI Xiaoliang, XIA Weiwei. Comparative Study of Typical Models in Medical AI Education in Jiangsu Province: An Exploration of Integration, Innovation, and Inclusiveness Paradigms[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2025, 8(19): 71-73.

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