在医学教育中绘制人工智能辅助的形成性反的地图:一个文献计量分析
1Department of Gynecology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China.
Medicine
|February 3, 2026
概括
人工智能 (AI) 正在快速推进医学教育中的形成性反. 研究显示了指数级增长,大型语言模型和个性化评估推动了改善学习成果和患者护理的未来方向.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 图书统计分析 图书统计分析
背景情况:
- 人工智能 (AI) 正在对医学教育产生重大影响,尤其是在提供形成性反方面.
- 本文库分析绘制了医学教育中人工智能辅助形成性反的研究格局,趋势和未来方向.
研究的目的:
- 在医学教育中对人工智能辅助的形成性反进行全面的文献分析.
- 确定关键的研究趋势,地理分布,机构合作和突出的主题.
主要方法:
- 系统搜索 网络科学核心集合 (2021-2025).
- 使用VOSviewer,CiteSpace和R-bibliometrix进行图书法分析.
- 分析出版趋势,合作,期刊影响力和关键词出现情况.
主要成果:
- 分析了116篇出版物,显示了人工智能反研究 (2021-2025) 的指数增长.
- 美国在研究方面处于领先地位,中国和欧洲的贡献很大.
- 关键的研究热点包括"反"",大型语言模型"和"医学教育" (2024-2025年).
结论:
- 人工智能辅助的形成反是一个动态的领域,由LLM和个性化学习推动.
- 未来的研究应该关注以道德为中心,以患者为中心的AI集成,以加强医疗培训和患者护理.
- 国际合作和跨学科的知识共享对于负责任的AI采用至关重要.
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