中美AI医学教育政策与融合机制比较OA

Objective Starting from the internal logic of policy evolution and driving modes,this study systematically compares the differences in the integration mechanisms of artificial intelli-gence(AI)in medical talent training between China and the United States,so as to provide scientific strategic paths and practical plans for the intelligent transformation of China's medical education para-digm.Methods Policy text analysis method and multiple case comparison method were adopted in the research.At the policy text level,a total of 86 national and industrial core policy documents in the field of AI medical education in China and the United States from 2010 to 2025 were systematically re-trieved from government and industry association official websites and academic databases based on pre-established inclusion and exclusion criteria,and an analysis framework was established based on the policy issuing subject,policy objectives and implementation measures.At the case selection level,following the principles of"representativeness,typicality and comparability",12 top medical colleges/medical education institutions including Stanford University School of Medicine,Mayo Clinic Medical Education Center in the United States,Peking Union Medical College and Shanghai Medical College of Fudan University in China were selected as research cases.Case data were collected through public sources such as institutional official websites,course syllabi,and published literature.Thematic analy-sis was employed to trace the evolutionary stages of policies vertically and to deconstruct the imple-mentation mechanisms of the case subjects in curriculum integration,clinical training,faculty develop-ment and other aspects horizontally.The core characteristics and differences of the integration mecha-nisms of the two countries were extracted combined with the case analysis results.Results The United States has formed a"technology-led and clinical deeply integrated"development mode driven by"market and innovation",with the policy system focusing on the construction of innovation ecosys-tem and the improvement of ethical framework.China has presented a"planning-led and pilot explora-tion"development mode with the step-by-step promotion of"strategy and planning".The policy sys-tem has distinct advantages in top-level design,but it still needs to be improved in the systematic inte-gration and promotion of AI and medical education.There are significant differences between the two countries in the efficiency of knowledge translation,the degree of curriculum integration,the depth of clinical practice integration and the optimization of faculty structure.Conclusion Based on the national conditions of local medical education,China should learn from international advanced experience and build a tripartite synergistic development path of"strategic planning,ecosystem construction,and ca-pability remodeling".The specific measures include formulating an output-oriented medical AI lit-eracy framework,promoting the transformation of curriculum system from"module embedding"to"systematic restructuring",establishing a collaborative innovation community of"government-industry-university-research-hospital",improving the medical AI education evaluation system and ac-tively participating in the global governance of medical AI education,so as to cultivate interdisciplin-ary medical talents adapted to the development needs of future smart healthcare.