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作 者:陈峰[1,2] 黄国祯 诸葛晶 俞林伟 余新国 CHEN Feng;HUANG Guozhen;ZHUGE Jing;YU Linwei;YU Xinguo(Artificial Intelligence Education Department,Central China Normal University,Wuhan 430079,China;Information Technology Center,Wenzhou Medical University,Wenzhou 325035,China;Graduate Institute of Digital Learning and Education,National Taiwan University of Science and Technology,Taibei 106344,China;Social Science Department,Wenzhou Medical University,Wenzhou 325035,China)
机构地区:[1]华中师范大学人工智能教育学部,湖北武汉430079 [2]温州医科大学信息技术中心,浙江温州325035 [3]台湾科技大学数字化学习研究所,中国台湾台北106344 [4]温州医科大学社会科学处,浙江温州325035
出 处:《医学与哲学》2024年第2期67-71,F0003,共6页Medicine and Philosophy
基 金:2022年国家自然科学基金项目(62277022);2020年浙江省教育科学规划课题(2020SCG163)。
摘 要:运用文献计量学方法,基于近10年来Web of Science(WoS)数据库中的人工智能医学教育应用研究相关文献,开展关联、聚类、突变等可视化分析,探究国际人工智能医学教育应用研究现状、研究热点和发展趋势,发现机器人辅助手术培训、智能评价反馈系统和智能虚拟仿真系统是国际人工智能医学教育的研究热点,其研究演进遵循从标准化到个性化、从实体空间到虚实融合、从关注独立思考到人机协同决策这一脉络,以期为我国人工智能医学教育研究工作者提供参考和情报支持。Using bibliometric methods and literature on the application of artificial intelligence in medical education in the Web of Science(WoS)database in the past decade,this paper conducts visual analysis such as correlation,clustering,and mutation to explore the current status,research hotspots,and development trends of international research on the application of artificial intelligence in medical education.It is found that robot-assisted surgical training,intelligent evaluation and feedback systems,and intelligent virtual simulation systems are research hotspots in international artificial intelligence medical education.The research evolution follows the context from standardization to personalization,from physical space to the integration of virtual and reality,and from focusing on independent thinking to human-machine collaborative decision-making.It is hoped to provide reference and intelligence support for Chinese researchers in the field of artificial intelligence medical education.
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