Method for Predict Stenosis of Arteriovenous Fistula Patients Based on Machine Learning.

Journal: Seminars in dialysis
Published Date: Jul 1, 2025

Abstract

OBJECTIVES: Arteriovenous fistula (AVF) is the most ideal vascular access for hemodialysis. People with AVF have a longer vascular access survival rate and a lower complication rate. Thrombosis and stenosis are the most common complications of AVF. The annual thrombosis event rate is 10%-50%. Appropriate identification of AVF stenosis and management could reduce the risk of thrombosis and access loss. Guidelines recommended physical examinations as the first line of AVF stenosis monitoring. However, even for health professionals, the diagnosis rate by hearing the bruit varied. The sound waves of AVF can be recorded by electronic stethoscopes and the analysis of the digitalized signal may help predict stenosis of AVF and trigger the next step of management.

Authors

  • Yunghsin Chen
    Above Care Inc., San Jose, California, USA.
  • Wei-Tse Hsu
    Sydney School of Veterinary Science, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia.
  • Christopher Chen
  • Wei-Ta Chen
    Division of Cardiovascular Medicine, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan (ROC).

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