A Meta-analysis on Artificial Intelligence in the Field of Nephrology
Keywords:
Artificial Intelligence, Nephrology, Acute kidney Injury, Chronic Kidney Disease
Abstract
Background:The emergence of artificial intelligence (AI) in the medical field has been groundbreaking and has provided novel strategies for accurate diagnosis enabling more personalised treatment for patients in various domains of nephrology. This meta-analysis aims to ascertain the methodology of studies on patients with acute kidney injury (AKI) and chronic kidney disease (CKD), and to quantify the research output in the application of AI to kidney diseases.
References
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2. Neyra JA, Ortiz-Soriano V, Liu LJ, et al. Prediction of Mortality and Major Adverse Kidney Events in Critically Ill Patients With Acute Kidney Injury [published correction appears in Am J Kidney Dis. 2023 Sep;82(3):377-378. doi: 10.1053/j.ajkd.2023.07.001]. Am J Kidney Dis. 2023;81(1):36-47. https://doi.org/10.1053/j.ajkd.2022.06.004
3. Belur Nagaraj S, Pena MJ, Ju W, Heerspink HL; BEAt-DKD Consortium. Machine-learning-based early prediction of end-stage renal disease in patients with diabetic kidney disease using clinical trials data. Diabetes Obes Metab. 2020;22(12):2479-2486. https://doi.org/10.1111/dom.14178
Published
2026-05-02
Section
Abstract
