人工智能在护理中的应用:对全球研究趋势的图书法分析
Lorna Kwai Ping Suen1, Jing Zhou2, Shaolin Chen3
1School of Nursing, Tung Wah College, Hong Kong SAR, China.
Healthcare (Basel, Switzerland)
|February 27, 2026
概括
护理领域的人工智能 (AI) 正在迅速扩大,自2012年以来,出版物的数量大幅增长. 本文献分析揭示了关键主题和合作,指导未来的AI整合到护理实践中.
科学领域:
- 护理 护理 护理
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 传统的文献评论很难捕捉人工智能 (AI) 在护理研究的广度.
- 图书统计分析提供了一种系统的方法,用于在护理文献中绘制人工智能应用.
研究的目的:
- 绘制护理文献中人工智能应用中的出版趋势,地理和机构分布,研究主题和协作模式.
- 为在护理中整合人工智能的未来研究方向提供信息.
主要方法:
- 从科学网络数据库 (1956年-5月2025年) 中对1194篇全文文章进行了图书统计分析.
- 使用了包括CiteSpace,VOSviewer和Bibliometrix在内的工具来分析出版物生产力,地理和机构分布,关键词分析和协作网络.
主要成果:
- 自2012年以来,人工智能护理出版物的显着增加.
- 确定了关键的研究集群:护理教育中的人工智能,临床决策,健康信息学/远程医疗,以及用于老年护理的机器人.
- 揭示了协作模式和突出的国家/机构为护理人工智能做出贡献.
结论:
- 参考文献分析强调了对护理人工智能应用日益增长的兴趣和产出.
- 合作和专题重点表明,人工智能整合在患者护理,教育和信息学方面有很强的发展轨迹.
- 这些发现为进一步解释AI在护理实践中的作用的研究提供了基础.
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