人工智能应用于老年人跌倒的文献计量学分析  

Bibliometric Analysis of Artificial Intelligence Applied to Studies in Falls in the Elderly

作　　者：杨珊 吴艺新 何雨欣 信博 史盼盼 蒋文慧[1] YANG Shan;WU Yixin;HE Yuxin;XIN Bo;SHI Panpan;JIANG Wenhui(Department of Nursing,Xi’an Jiaotong University,Xi’an 710061,Shaanxi Province,China)

机构地区：[1]西安交通大学护理学系,陕西西安710061

出　　处：《军事护理》2024年第4期61-65,共5页MILITARY NURSING

基　　金：国家社会科学基金项目(22BGL253);中国科协研究生科普能力提升项目(KXYJS2022077)。

摘　　要：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。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 analyze the trend of publications,and CiteSpace to visualize the keywords.Results A total of 515 English publications and 96 Chinese publications were obtained.The annual number of publications showed an accelerating 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.

关 键 词：老年人 跌倒 人工智能 可视化 文献计量分析 

分 类 号：R473.59[医药卫生—护理学]