Medical Education Management ›› 2026, Vol. 12 ›› Issue (1): 41-45.doi: 10.3969/j.issn.2096-045X.2026.01.007
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Reform Paths for forensic medicine courses of non-forensic major medical students empowered by AI
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Abstract:
This paper focuses on the current teaching status of forensic medicine courses for medical students of non-forensic majors, analyzing the results of a questionnaire survey and course evaluation conducted among 1 027 undergraduates. The study found that the current curriculum still has shortcomings in knowledge transfer, teaching resource development, and practical training. To address these weaknesses, the paper explores teaching reform pathways empowered by artificial intelligence (AI), proposing the establishment of a teaching system based on case-driven learning and supported by AI-powered resources. By advancing the construction of virtual simulation experiment platforms and optimizing differentiated teaching mechanism, the objective is to achieve a teaching transformation characterized by "AI guidance, student-centered teaching, and competency-oriented education". This approach aims to enhance medical students' legal awareness, clinical decision-making abilities, and risk response capabilities, providing support for cultivating interdisciplinary medical talents under the "New Medical Education" framework and meeting the educational demands of building a "Healthy China" and a law-based China.
CLC Number:
G642
Liu Qingxia, Xie Bing, Yang Zijiang, Du Linhong, Li Shujin, Wen Di.
Reform Paths for forensic medicine courses of non-forensic major medical students empowered by AI [J]. Medical Education Management, 2026, 12(1): 41-45.
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URL: https://journal06.magtechjournal.com/Jwk3_yyyzlt/EN/10.3969/j.issn.2096-045X.2026.01.007
https://journal06.magtechjournal.com/Jwk3_yyyzlt/EN/Y2026/V12/I1/41
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