人工智能在医学教育中的演变从2000年到2024年:图书识别分析
1Emergency Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Interactive journal of medical research
|January 30, 2025
概括
医学教育中的人工智能 (AI) 自2018年以来呈指数级增长. 美国领导着研究,人工智能应用从成像发展到决策和模型.
科学领域:
- 图书识别和科学识别技术
- 医学教育研究 医学教育研究
- 人工智能应用的人工智能应用.
背景情况:
- 对人工智能的兴趣日益增长,以提高医学教育成果.
- 缺乏关于AI在这个领域的学术地位的全面研究.
研究的目的:
- 自2000年以来,分析社会模式,贡献者,知识结构和AI在医学教育中的集群.
- 绘制出AI技术在该领域的演变和影响.
主要方法:
- 从Web of Science核心集合中对2775篇出版物 (2000-2024) 的图书统计分析.
- 使用VOSviewer,Incites和Citespace来分析国家,机构,作者,期刊和关键字指标.
- 审查的出版物数量,引用,H指数,影响因子和合作.
主要成果:
- 自2018年以来,AI出版物和引用在医学教育中的指数式增长.
- 美国在生产力和认可方面处于领先地位;确定了关键机构.
- 人工智能重点从成像转移到增强/虚拟现实,决策和模型; 持续对机器人手术的兴趣.
结论:
- 为研究人员和教育技术机构提供见解.
- 突出了AI在医学教育中的日益增长的影响和未来潜力.
- 建议提交战略期刊和机构发展.
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