Chinese Journal of Blood Purification ›› 2026, Vol. 25 ›› Issue (02): 151-155.doi: 10.3969/j.issn.1671-4091.2026.02.01

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Research progress in artificial intelligence-based risk prediction model for clinical outcomes of peritoneal dialysis patients

WANG Xiao-yi , TONG Han , WU Shu-ran , ZHOU Dan   

  1. 1Department of Nephrology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China
  • Received:2025-08-12 Revised:2025-11-30 Online:2026-02-12 Published:2026-02-02
  • Contact: 116000 大连,1大连医科大学附属第一医院肾内科 E-mail:zhoudanwin@163.com

Abstract: Peritoneal dialysis (PD) patients often have the risks of unfavorable outcomes due to longer treatment period and complicated disease conditions, presenting many challenges to disease management. The risk prediction model of outcomes based on the application of artificial intelligence (AI) can help PD medical team early and precisely manage the high risk PD patients, being valuable to increase the technological survival rate of PD patients. This paper reviews AI-based risk prediction models for clinical outcomes of PD patients from a PD medical care team perspective. Meanwhile, this paper also analyzes the existed challenges and prospects, aiming to provide a reference for precise management of PD with the aid of AI.

Key words: Peritoneal dialysis, Clinical outcomes, Risk prediction, Artificial intelligence

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