Research progress of artificial intelligence in the field of hemodialysis
人工智能在血液透析领域的研究进展

摘要

血液透析作为终末期肾病患者的核心替代治疗手段，其治疗精准性、并发症防控及护理质量直接影响患者预后。人工智能技术凭借数据挖掘、模式识别及预测分析优势，在血液透析领域的应用逐渐深入。本文综述人工智能在血液透析并发症预测与诊断、治疗方案优化、护理管理与决策支持等方面的研究进展，分析当前存在的数据质量安全、临床转化障碍及伦理考量等挑战，展望未来技术融合与发展方向，为推动血液透析智能化、精准化发展提供参考。

Abstract

Hemodialysis, as a core alternative treatment for end-stage renal disease patients, directly affects the patient’s prognosis in terms of treatment accuracy, complication prevention and control, and nursing quality. The application of artificial intelligence technology in the field of hemodialysis is gradually deepening due to its advantages in data mining, pattern recognition, and predictive analysis. This article reviews the research progress of artificial intelligence in predicting and diagnosing complications of hemodialysis, optimizing treatment plans, nursing management, and decision support. It analyzes the current challenges of data quality and safety, clinical translation barriers, and ethical considerations, and looks forward to the future direction of technological integration and development, providing reference for promoting the intelligent and precise development of hemodialysis.