中国血液净化

中国血液净化 ›› 2026, Vol. 25 ›› Issue (01): 51-54.doi: 10.3969/j.issn.1671-4091.2026.01.012

• 综述 • 上一篇    下一篇

人工智能在腹膜透析中应用的研究进展

李安岚   严 谨   俞曼殊   单 云   盛梅笑   

  1. 210029 南京，1南京中医药大学附属医院肾科
  • 收稿日期:2025-05-15 修回日期:2025-09-17 出版日期:2026-01-12 发布日期:2025-12-31
  • 通讯作者: 盛梅笑 E-mail:yfy0075@njucm.edu.cn
  • 基金资助:
    江苏省中医院优秀青年博士培养计划(2023QB0133)；江苏省中医院优秀青年博士培养计划(2023QB0130)

Research progresses in the application of artificial intelligence for peritoneal dialysis

LI An-lan, YAN Jin, YU Man-shu, SHAN Yun, SHENG Mei-xiao   

  1. Department of Nephrology, the Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
  • Received:2025-05-15 Revised:2025-09-17 Online:2026-01-12 Published:2025-12-31
  • Contact: 210029 南京，1南京中医药大学附属医院肾科 E-mail:yfy0075@njucm.edu.cn

摘要： 腹膜透析(peritoneal dialysis，PD)作为居家治疗方式，因其成本较低、能够较好的保护残肾功能等优点在许多国家被推广应用，但仍面临患者认知不足、医疗资源短缺、照护压力过大、专业人员匮乏等多重制约因素，人工智能(artificial Intelligence，AI)为PD治疗的优化提供了广阔的前景。本文从AI技术在筛选相关高风险患者、优化PD处方、预测预后、管理4个方面综述相关研究进展。

关键词: 人工智能, 机器学习, 腹膜透析, 临床应用

Abstract: Peritoneal dialysis (PD) has been promoted in many countries due to its advantages of treatment at home, lower cost and better protection of residual renal function. However, PD still faces many constraints including lower patient awareness, medical resource shortages, excessive care pressure, and insufficient professionals. Artificial intelligence (AI) offers a broad prospect of optimizing PD. In this paper, we review the research progresses in AI for PD from four aspects: screening high-risk patients, optimizing PD prescription, predicting prognosis, and management of PD.

Key words: Artificial intelligence, Machine learning, Peritoneal dialysis, Clinical application

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