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中华肾病研究电子杂志 ›› 2026, Vol. 15 ›› Issue (04) : 202 -205. doi: 10.3877/cma.j.issn.2095-3216.2026.04.004

综述

基于人工智能的血液透析患者容量状态评估研究进展
郑顺1, 张楠1, 丁奕2, 李文静2,()   
  1. 1710021 西安医学院第二临床医学院麻醉系
    2710038 西安医学院第二附属医院
  • 收稿日期:2025-10-15 出版日期:2026-08-28
  • 通信作者: 李文静
  • 基金资助:
    国家自然科学基金-省级大学生创新创业训练计划项目(S202411840080)

Research progress on volume status assessment for hemodialysis patients based on artificial intelligence

Shun Zheng1, Nan Zhang1, Yi Ding2, Wenjing Li2,()   

  1. 1Department of Anesthesiology, The Second Clinical Medical College of Xi′an Medical University, Xi′an 710021
    2The Second Affiliated Hospital of Xi′an Medical University, Xi′an 710038; Shaanxi Province, China
  • Received:2025-10-15 Published:2026-08-28
  • Corresponding author: Wenjing Li
引用本文:

郑顺, 张楠, 丁奕, 李文静. 基于人工智能的血液透析患者容量状态评估研究进展[J/OL]. 中华肾病研究电子杂志, 2026, 15(04): 202-205.

Shun Zheng, Nan Zhang, Yi Ding, Wenjing Li. Research progress on volume status assessment for hemodialysis patients based on artificial intelligence[J/OL]. Chinese Journal of Kidney Disease Investigation(Electronic Edition), 2026, 15(04): 202-205.

容量状态评估在血液透析患者的临床管理中处于核心地位,其评估准确性直接影响患者的预后与生存率。近年来,人工智能模型在该领域的相关研究显示出应用潜力,通过分析多维临床数据可实现容量状态的精准评估,为个性化治疗提供依据。本文对人工智能及其与传统容量评估方法联合在血液透析患者容量评估中的应用进行综述,探讨其优势、局限性和发展方向。

Volume status assessment plays a central role in the clinical management of hemodialysis patients, and its accuracy directly affects patients′ prognosis and survival rate. In recent years, relevant research on artificial intelligence models in this field has demonstrated application potential. Precise assessment of volume status can be achieved by analyzing multi-dimensional clinical data, providing a basis for personalized treatment. This paper reviews the application of artificial intelligence and its combination with traditional volume assessment methods in volume evaluation for hemodialysis patients, and discusses their advantages, limitations, and development directions.

表1 人工智能模型在容量状态评估方面相关研究对比
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