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Research progress in the monitoring of arteriovenous fistula based on artificial intelligence and audio technology

  • WANG Fan-Li ,
  • XU Yuan-Kai ,
  • ZHANG Li-Hong ,
  • YANG Yan-Li
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  • Department of Nephrology, The First Hospital of Hebei Medical University, Shijiazhuang 050030, China; 2Department of Nephrology, Zhejiang Hospital, Hangzhou 310030, China

Received date: 2023-10-09

  Revised date: 2023-11-13

  Online published: 2024-02-12

Abstract

Hemodialysis is the mainstay of renal replacement therapy for end-stage renal disease, and arteriovenous fistula (AVF) is the preferable method for vascular access recommended by major guidelines. However, repeated AVF failures affect the quality of life of the patients, and increase economic and social burdens. Therefore, continuous assessment of AVF function and early intervention to abnormal AVF is essential. Currently, artificial intelligence has become a hot issue due to the advantages of accurate and quantified results, homogenized and remote diagnosis and treatment, as compared to the physical examination of AVF. In this article, research progresses in AVF acoustic feature and its extraction method, selection of machine learning method, and the development of AVF monitoring system by artificial intelligence are reviewed in order to explore the research pathways and the direction of clinical research.

Cite this article

WANG Fan-Li , XU Yuan-Kai , ZHANG Li-Hong , YANG Yan-Li . Research progress in the monitoring of arteriovenous fistula based on artificial intelligence and audio technology[J]. Chinese Journal of Blood Purification, 2024 , 23(02) : 125 -129 . DOI: 10.3969/j.issn.1671-4091.2024.02.010

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