Research hotspot and trend of artificial intelligence technology in extracorporeal circulation based on visual analysis

Deng Xun; Peng Tingting; Liu Lu; Zhang Shan

doi:10.13498/j.cnki.chin.j.ecc.2025.02.09

Abstract：Objective The research hotspot and trend of artificial intelligence technology applied in extracorporeal circulation were analyzed to provide reference for medical workers to apply artificial intelligence technology to assist clinical work.Methods The CiteSpace software was used to visually analyze the literature collected in the Web of Science core collection database,including the trend of the annual publication volume,the distribution of institutions,research contributions from different countries,cited journals and keyword clustering.Results A total of 116 English literatures were included in the final analysis,and the number of published papers showed a steady increase year by year since 2020.Chinese Academy of Medical Sciences and Peking Union Medical College(7 articles,accounting for 6.03%)were the most published institutions;China and the United States(37 articles)were the countries with the largest number of publications,and there are certain achievements in cooperation between institutions of these countries.Annals of Thoracic Surgery was the most cited journal.The research hotspots focuses on identification of risk factors,prediction of disease prognosis and intelligent management of extracorporeal circulation.Future research trends included disease risk prediction,optimizing treatment strategies,and assisting guideline development and decision making.Conclusion In the past decade,research on the application of AI technology in extracorporeal circulation has steadily risen,showing growing research interest.It is suggested that researchers can further apply AI technology in the future of extracorporeal circulation in the prediction of disease risk and the formulation of guidelines,so as to provide medical workers with more accurate and efficient tools,and to improve the treatment effect and quality of life of patients.