牙科教育中的数字智能:一个图书识别分析
Runzhi Guo1, Yunfan Zhang2, Weiran Li1
1Department of Orthodontics, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, Beijing, PR China.
International dental journal
|March 15, 2026
概括
数字智能正在改变牙科教育. 本文献分析绘制了研究趋势,强调了对人工智能和未来牙科专业人员增强学习环境的转变.
科学领域:
- 牙科教育技术 牙科教育技术
- 图书统计学 图书统计学
- 医疗保健教育中的数字智能
背景情况:
- 数字智能集成在牙科教育中迅速增加.
- 技术支持临床技能培训和教育应用.
- 用文献计量分析来绘制知识格局.
研究的目的:
- 在牙科教育中对数字智能应用进行文献分析.
- 识别关键的研究趋势,有影响力的出版物和主要贡献者.
- 为未来的研究和数字工具的战略整合提供指导.
主要方法:
- 在 Web of Science 核心集合中进行全面的文献搜索.
- 图书统计参数分析质量和数量.
- 使用的工具包括微软Excel,Incites和CiteSpace软件.
主要成果:
- 分析了424篇出版物,从606篇中获取了.
- 从2024-2025年开始观察到显著的出版量增加.
- 美国,中国和英国是最大的贡献国.
- 研究重点从计算机模拟演变为人工智能.
- 关键主题包括人工智能,计算机辅助教学,技能评估和模拟.
结论:
- 该研究为牙科教育的数字智能研究人员提供了见解.
- 数字智能为推进牙科教育提供了巨大的好处.
- 对于未来的教育需求,建议对数字工具进行战略整合.
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