基于文献计量学的人工智能在手术教学领域应用的全球研究现状及热点分析OA

Objective To conduct a systematic analysis of the global literature on the applica-tion of AI in surgical education,and provide insights for the future development of surgical education in China.Methods Bibliometric visualization analysis of authors,institutions,countries,and key-words was conducted using VOSviewer and CiteSpace software,based on literature retrieved from the China National Knowledge Infrastructure(CNKI)and Web of Science(WoS)Core Collection data-bases.Results A total of 93 CNKI and 310 WoS publications were included.International annual pub-lications surged exponentially in recent years.The top three countries by publication volume were the United States,China,and Japan.Leading Chinese institutions contributing internationally included Peking University,Chinese Academy of Sciences,and Shanghai Jiao Tong University.International research hotspot disciplines were widely distributed,but the research tended to be highly specific,including colorectal neoplasms,digital pathology,virtual reality,surgical skills,AI,prostatec-tomy,deep learning,ec-ic bypass,robotic surgery,indocyanine green.Domestic research empha-sized broader themes such as robotics,medical education,extended reality,and policy innovations.Conclusion AI application in surgical education progresses more slowly in China compared with global advancements.Future efforts should leverage leading domestic institutions to establish interdis-ciplinary platforms,harness policy dividends based on the"Medicine+X"initiative,refine regulatory frameworks for medical safety,accelerate translational adoption of AI teaching tools,validate their pedagogical efficacy,and continuously optimize curricular systems.