中国血液净化

中国血液净化 ›› 2026, Vol. 25 ›› Issue (02): 151-155.doi: 10.3969/j.issn.1671-4091.2026.02.01

• 综述 • 上一篇    下一篇

基于人工智能的腹膜透析患者临床结局风险预测模型的研究进展

王筱怡  佟 韩   吴姝然   周 丹   

  1. 116000 大连，1大连医科大学附属第一医院肾内科
  • 收稿日期:2025-08-12 修回日期:2025-11-30 出版日期:2026-02-12 发布日期:2026-02-02
  • 通讯作者: 周丹 E-mail:zhoudanwin@163.com
  • 基金资助:
    辽宁省自然基金指导计划(2019-ZD-0924)

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

摘要： 腹膜透析患者因治疗周期长、病情复杂，常面临诸多不良临床结局风险，已成为目前疾病管理 的重要挑战。而基于人工智能构建的临床结局风险预测模型可帮助腹膜透析团队实现高危患者的精准识 别与早期管理，对提升患者的技术生存率具有重要价值。该文对目前人工智能在患者临床结局风险预测 模型中的应用进行综述，同时分析现有挑战并提出展望，旨在为人工智能驱动精准化管理提供参考依据。

关键词: 腹膜透析, 临床结局, 风险预测, 人工智能

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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