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.
LIU Jia-Li
,
HU Shen-Ling
,
ZHOU Pei-Ru
,
MO Hong-Qiang
,
HUANG Jie-Wei
,
HU Bo
. Research trends in artificial intelligence applied to hemodialysis: visualization analysis based on VOSviewer[J]. Chinese Journal of Blood Purification, 2023
, 22(08)
: 633
-637
.
DOI: 10.3969/j.issn.1671-4091.2023.08.015
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