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国内外人工智能护理相关研究热点和趋势分析 被引量:6

Research Hotspots and Trends of Artificial Intelligence in Nursing at Home and Abroad
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摘要 目的分析国内外护理领域人工智能(artificial intelligence,AI)研究的热点和前沿,以期为我国相关研究的开展提供参考和支持。方法系统检索Web of Science和中国知网数据库获取2002-2022年发表的AI护理研究和相关信息,并使用VOSviewer 1.6.17和Cite Space 5.8.R3软件进行可视化分析。结果共检索到12896篇相关论文,筛选后获得427篇护理领域相关的AI英文研究和179篇中文研究,英文研究热点为疾病风险预测、护理决策、护理管理、护理信息处理和护理诊断,中文研究热点为疾病风险预测、护理决策、护理信息处理和护理机器人的开发与应用。机器学习是近年来AI在护理领域最前沿、最热门的分支之一。结论今后的护理AI研究应加强跨学科和国际间合作,拓展AI技术在护理领域的应用范围,提供更多高质量证据。 Objective To analyze the research hotspots and frontiers of artificial intelligence in nursing at home and abroad,so as to provide references and support for the development of relevant research in China.Methods The databases of Web of Science and CNKI were systematically searched for research and relevant information on artificial intelligence in nursing,which were published between 2002 and 2022.The softwares of VOSviewer 1.6.17 and Cite Space 5.8.R3 were used to conduct visualized analysis.Results A total of 12896 relevant articles were obtained,and 427 English articles and 179 Chinese articles on artificial intelligence in nursing were included after screening.Research hotspots of English articles focused on disease risk prediction,nursing decision-making,nursing management,nursing information processing and nursing diagnosis.Research hotspots of Chinese articles focused on disease risk prediction,nursing decision-making,nursing information processing and the development and application of nursing robots.Machine learning was one of the most advanced and popular branches of artificial intelligence in nursing in recent years.Conclusions Future research on artificial intelligence in nursing should strengthen interdisciplinary and international cooperation,further expand the application scope of artificial intelligence technology in nursing,and provide more high-quality evidence.
作者 史纪元 罗家音 王雪莲 高亚 田金徽 李峥 SHI Jiyuan;LUO Jiayin;WANG Xuelian;GAO Ya;TIAN Jinhui;LI Zheng(School of Nursing,Chinese Academy of Medical Sciences,Peking Union Medical College,Beijing 100044,China;Department of Vascular Surgery,National Center of Gerontology,Beijing Hospital,Beijing 100044,China;Department of Nursing,National Center of Gerontology,Beijing Hospital;Evidence-Based Medicine Center,Lanzhou University,Lanzhou 730000,Gansu Province,China;Department of Health Research Methods,Evidence and Impact,McMaster University,Hamilton,L8S4L8,Canada)
出处 《军事护理》 CSCD 北大核心 2023年第7期16-19,共4页 MILITARY NURSING
关键词 人工智能 护理 文献计量学 artificial intelligence nursing bibliometrics
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