首页|基于CiteSpace的人工智能在脑卒中领域应用进展的可视化分析

基于CiteSpace的人工智能在脑卒中领域应用进展的可视化分析

扫码查看
目的 通过文献计量学的方法了解人工智能在脑卒中领域中的应用研究进展。方法 以中国知网(CNKI)与Web of Science核心数据库中2004年1月1日至2024年7月30日的相关文献为研究对象,运用CiteSpace软件进行计量分析。结果 文献数据分析显示,该研究方向的发文量正逐年增加,中文文献自2020年起增长明显,而英文文献则自2018年就进入高速增长期。中国与美国在该领域发文量最多,图宾根大学与麻省理工学院是该领域影响力最高的研究机构,国内的研究机构中介中心性低,影响力较弱。被引用最多的文献主要涉及方向有机器学习与预测模型。当前该领域研究热点主要有康复机器人、机器学习、深度学习、脑机接口等方向。该领域的研究趋势从最初的机器人、脑机接口等人工智能辅助设备转移至机器学习、深度学习、影像组学、预测模型等人工智能算法的研究与应用。结论 国内外人工智能在脑卒中领域的应用研究正处于一个发展爆发期,学者与机构间存在一定的关联性,国外研究学者间合作的密切程度高于国内,学者的重视度逐年上升。未来应继续关注国内外发展动向及学科前沿,并开展更多相关的高质量研究,为人工智能在脑卒中领域的应用制订更科学、更完善的诊疗方案。
Visualized analysis on application progress of artificial intelligence in field of stroke based on CiteSpace
Objective To understand the progress of application research of artificial intelligence in the field of stroke through bibliometric methods.Methods The relevant literatures in the core databases of China Knowledge Network(CNKI)and Web of Science from January 1,2004 to July 30,2024 were used as the re-search objects,and the CiteSpace software was used for conducting the scientometric analysis.Results The literature data analysis shows that the number of published papers in this research direction is increasing year by year,the Chinese literatures have significantly increased since 2020,while the English literatures have en-tered the high speed increase period since 2018.China and the United States have published the most articles in this field.The University of Tubingen and the Massachusetts Institute of Technology are the most influen-tial research institutions in this field,and the domestic research institutions have low intermediary centrality and weak influence.At present,the research hotspots in this field mainly include the rehabilitation robot,ma-chine learning,deep learning,brain computer interface and other directions.The research trend in this field has shifted from the initial artificial intelligence auxiliary devices such as robots and brain-computer interfaces to the research and application of artificial intelligence algorithms such as machine learning,deep learning,ima-gomics and predictive models.Conclusion The research of artificial intelligence in the field of stroke at home and abroad is in a period of development outbreak.There is a certain correlation between scholars and institu-tions,and the degree of cooperation between foreign researchers is higher than that of domestic researchers,and the degree of attention of scholars is increasing year by year.In the future,should continue to pay atten-tion to domestic and foreign development trends and academic frontiers,and carry out more related high-quali-ty researches,so as to formulate more scientific and perfect diagnosis and treatment plans for the application of artificial intelligence in the field of stroke

artificial intelligencestrokebibliometricsvisualized analysisresearch hotspots

赵思思、刘勇

展开 >

陆军军医大学第二附属医院疼痛康复科,重庆 400037

人工智能 脑卒中 文献计量学 可视化分析 研究热点

2024

重庆医学
重庆市卫生信息中心,重庆市医学会

重庆医学

CSTPCD
影响因子:1.797
ISSN:1671-8348
年,卷(期):2024.53(24)