Artificial intelligence and continuous renal replacement therapy
- 1Department of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University, Chengdu, China
Abstract
Continuous renal replacement therapy (CRRT) is an important intervention in the treatment of acute kidney injury (AKI) in intensive care, and its application scope continues to expand alongside technological advancements and an increasing patient population. However, in current clinical practice, several factors, including individual patient differences, dynamic treatment needs, and the rational allocation of medical resources, pose challenges to CRRT implementation. The rapid development of artificial intelligence (AI) offers new approaches to address some of these challenges, and its applications in developing decision-support models, refining workflows, and supporting patient communication and education may contribute to more precise and efficient CRRT management. In this article, we discuss the current evidence and potential applications of AI in CRRT, as well as the challenges and strategies for clinical implementation, aiming to provide a reference for future research and clinical translation of AI-assisted CRRT.
Related
- Chart-Recorded Hourly Patient Fluid-Removal Intensity and 90-Day Mortality After a 12-Hour Landmark During Continuous Renal Replacement Therapy
- Cytokine and Vasopressor Trajectories During Continuous Renal Replacement Therapy with oXiris, CytoSorb, or Standard Haemofilters in Sepsis-Associated Acute Kidney Injury: An Exploratory Retrospective Cohort Study
- Importance of furosemide stress test in the management of cardiorenal syndrome type 1 with continuous renal replacement therapy- A case report
- Continuous renal replacement therapy successfully treating a young male with acute kidney injury and multiple organ dysfunction by severe colchicine poisoning: A case report
- Effect of targeted versus fixed dosing of nafamostat mesylate on filter life in patients undergoing continuous renal replacement therapy
BibTeX
@article{li2026artificial,
title = {{Artificial intelligence and continuous renal replacement therapy}},
author = {Xiang Li and Ling Zhang},
journal = {Renal Failure},
year = {2026},
month = oct,
doi = {10.1080/0886022x.2026.2750759},
url = {https://doi.org/10.1080/0886022x.2026.2750759},
note = {CC BY-NC 4.0},
}
RIS
TY - JOUR
TI - Artificial intelligence and continuous renal replacement therapy
AU - Xiang Li
AU - Ling Zhang
PY - 2026
DA - 2026/10/30
JO - Renal Failure
DO - 10.1080/0886022x.2026.2750759
UR - https://doi.org/10.1080/0886022x.2026.2750759
AB - Continuous renal replacement therapy (CRRT) is an important intervention in the treatment of acute kidney injury (AKI) in intensive care, and its application scope continues to expand alongside technological advancements and an increasing patient population. However, in current clinical practice, several factors, including individual patient differences, dynamic treatment needs, and the rational allocation of medical resources, pose challenges to CRRT implementation. The rapid development of artificial intelligence (AI) offers new approaches to address some of these challenges, and its applications in developing decision-support models, refining workflows, and supporting patient communication and education may contribute to more precise and efficient CRRT management. In this article, we discuss the current evidence and potential applications of AI in CRRT, as well as the challenges and strategies for clinical implementation, aiming to provide a reference for future research and clinical translation of AI-assisted CRRT.
SN - 0886-022X
SN - 1525-6049
ER -