目的 分析人工智能(artificial intelligence，AI)应用于老年人跌倒的研究热点和趋势，以期为我国老年跌倒研究提供思路。方法 在Web of Science与中国知网中检索AI应用于老年人跌倒的相关文献，使用Excel分析发文趋势、CiteSpace对关键词进行可视化分析。结果 最终获得515篇英文文献、96篇中文文献。年发文量总体呈上升趋势。研究热点显示AI在老年人跌倒预测、检测及预防方面备受关注。结论 近年来AI应用于老年人跌倒的研究热度持续增加，我国在该领域的发展滞后于国外。未来可在把握国际热点基础上，深化护理与AI领域合作，探索适宜我国国情的老年人精准跌倒预防与管理策略。
Bibliometric Analysis of Artificial Intelligence Applied to Studies in Falls in the Elderly
Objective To analyze the research hotspots and trends in the field of artificial intelligence(AI)applied to elderly falls,and to provide ideas for studies in this field.Methods The literature related to AI applied to studies in falls in the elderly were searched in Web of Science and CNKI.Excel was used to ana-lyze the trend of publications,and CiteSpace to visualize the keywords.Results A total of 515 English pub-lications and 96 Chinese publications were obtained.The annual number of publications showed an accelera-ting growth.The research hotspots showed that AI has drawn much attention in fall prediction,detection and prevention in the elderly.Conclusions In recent years,the research on AI applied to studies in falls in the elderly has continued to increase,and the development of AI in this field in China lags behind that abroad.In the future,the cooperation between nursing and AI can be deepened on the basis of grasping the international hot spots,and the precise fall prevention and management strategies for the elderly can be explored according to China's conditions.
the elderlyfallartificial intelligencevisualizationbibliometric analysis
NETL
NSTL
万方数据
维普
