Research hotspots and trends in application of artificial intelligence in chronic obstructive pulmonary disease at home and abroad
ZHAN Jingyan
CHEN Ya'nan
ZHAI Shengping
Abstract：Objective To analyze the current status and trends of the application of artificial intelligence in the field of chronic obstructive pulmonary disease(COPD)both domestically and internationally using CiteSpace 6.2 R4 software.Methods Using"chronic obstructive pulmonary disease","COPD","artificial intelligence","deep learning"and"ma-chine learning"as the keywords,we retrieved relevant domestic and international literature from databases of CNKI,Wan-Fang,VIP,and Web of Science Core Collection.The retrieval spanned from database inception to March 31,2025.A net-work mapping analysis of the literature was conducted using CiteSpace 6.2 R4 software.Results A total of 1,292 articles(197 Chinese and 1,095 English)were included,showing an overall upward trend in publication volume.Among Chinese journals,"Radiologic Practice"published the most articles(6),while among English journals,the"American Journal of Re-spiratory and Critical Care Medicine"ranked first(56 articles).The top three countries in English publication volume were the United States(341 articles),China(227 articles),and the United Kingdom(978.86%).The top three in centrality were the United States(0.32),the United Kingdom(0.31),and Spain(0.20).Chinese literature yielded 199 keywords,519 connections,and 19 keyword clusters;English literature yielded 446 keywords,2,377 connections,and 27 keyword clusters.Common hotspots in both languages included"COPD","machine learning","artificial intelligence",and"deep learning".The main clusters were predictive models,artificial intelligence,tomography,the Internet of Things(IoT),air pollution,transfer learning,and mortality.Emerging keywords in Chinese literature were"lung cancer","acoustic analy-sis","chronic obstructive",and"pulmonary disease",while those in English literature were"particulate matter","trans-fer learning",and"spirometry".Conclusions Research on AI in COPD is rising yearly,with English publications sur-passing Chinese.Current hotspots focus on predictive model building based on CT images,pulmonary function,respiratory sounds,etc.,IoT applications,transfer learning,air pollution,and mortality.CT imaging and AI applications are well-de-veloped and widely used,showing some differences between domestic and international research.
Keywords：chronic obstructive pulmonary diseaseartificial intelligencevisualization analysisbibliometrics
Publication Date：2025-09-25
Online Publishing Date：2025-10-22(First online date of this platform, not the publication date of the document)
Pages：7( 19-24,28 )