Chinese Journal of Blood Purification ›› 2023, Vol. 22 ›› Issue (08): 633-637.doi: 10.3969/j.issn.1671-4091.2023.08.015

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Research trends in artificial intelligence applied to hemodialysis: visualization analysis based on VOSviewer

LIU Jia-li, HU Shen-ling, ZHOU Pei-ru, MO Hong-qiang, HUANG Jie-wei, HU Bo   

  1. School of Nursing, Jinan University, Guangzhou 510632, China; 2Department of Nephrology and 5Department of Nursing, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China; 3Center for Healthcare Management, the Fifth Affiliated Hospital of Jinan University, Heyuan 517475, China; 4School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China
  • Received:2023-04-12 Revised:2023-05-22 Online:2023-08-12 Published:2023-08-12
  • Contact: 广州 510630, 暨南大学附属第一医院2肾内科 E-mail:42089537@qq.com

Abstract: Objective To investigate the current research status and development trend of artificial intelligence (AI) applied to hemodialysis.  Methods  We searched the literature in the field of AI applied to hemodialysis indexed by SCI-EXPANDED and SSCI in the Web of Science Core Collection database from the establishment of the database to March 29, 2023. We applied the bibliometric research method and VOSviewer software to visualize and present the countries, research institutions, journals, authors, and keywords.  Results  A total of 98 articles and 5 reviews were enrolled in the analysis. In the past 20 years, the application of AI to the field of hemodialysis has shown an overall and rising trend. The country with the most publications was China (n=37), and the institution with the most publications was Fresenius Medical Care (n=16). Hemodialysis outcomes, influencing factors, and complication prediction models are the current and future frontier of research trends in this field.  Conclusion Using bibliometrics and VOSviewer software for analysis can visualize the current status of research and cutting-edge hotspots in the field and provide a reference basis for further research in the future.

Key words: Hemodialysis, Artificial intelligence, VOSviewer, Bibliometrics, Visualization analysis

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