实用心电与临床诊疗2026，Vol.35Issue(1)：78-87,96,11.DOI:10.13308/j.issn.2097-5716.xd20250333
人工智能在高血压领域的研究动态:基于2015-2024年文献的CiteSpace可视化分析
Research trends of artificial intelligence in field of hypertension:a CiteSpace visual analysis based on literature of 2015-2024
摘要
Abstract
Objective To review the research status and hotspots in the artificial intelligence(AI)application of the hypertension field over the past decade using bibliometric methods,and to provide references for future related research in the future.Methods The Web of Science Core Collection database was used as the data source to retrieve literature published between January 1,2015 and December 31,2024,on the application of AI in the field of hypertension.CiteSpace 6.3.R1 software was employed to conduct visual mapping analysis of annual publication volume,countries/regions,research institutions,authors,co-citation networks,and key words.Results A total of 654 articles were included.Between 2015 and 2024,although there were fluctuations in parts of these years,the annual publication volume in the field of AI applied to hypertension showed a general upward trend,with particularly notable growth after 2020.China had the highest volume of publications,while the United States showed the highest centrality index.The Chinese Academy of Sciences was the institution with the highest publication volume.Acharya UR,Mulatero P,and Li Y were the authors with the highest publication outputs.The top three authors ranked by co-citation frequency,Kachuee M,O'Brien E,and Whelton PK,made significant contribution to this field.The most frequently co-cited literature was"Cuffless blood pressure estimation algorithms for continuous health-care monitoring".Hypertension,J Hypertens,and Circulation were the top three journals in terms of influence.Research hotspots primarily focused on the prediction and early identification of hypertension,non-invasive continuous blood pressure monitoring,diagnosis,risk assessment,and intelligent clinical decision support.Conclusion The application of AI in the field of hypertension shows broad prospects.Future research could focus on multimodal data fusion,optimization of non-invasive continuous blood pressure monitoring technology,improvement of AI-assisted clinical decision support systems,integrated application of digital health technologies,and in-depth studies on specific hypertensive populations.关键词
高血压/人工智能/CiteSpace/文献计量分析/可视化Key words
hypertension/artificial intelligence/CiteSpace/bibliometric analysis/visualization分类
医药卫生引用本文复制引用
袁艳玲,马明仁,孙丽,安永超,赵雪红,刘燕..人工智能在高血压领域的研究动态:基于2015-2024年文献的CiteSpace可视化分析[J].实用心电与临床诊疗,2026,35(1):78-87,96,11.基金项目
甘肃省自然科学基金资助项目(23JRRA541) （23JRRA541）
兰州市科技发展指导性计划项目(2024-9-125) （2024-9-125）
