Journal of cardiothoracic and vascular anesthesiaHumansAcute Kidney InjuryCardiac Surgical ProceduresMachine LearningMale
Predicting In-Hospital Acute Kidney Injury after Cardiac Surgery Using Machine Learning.
Kuroush Nezafati, Sreekanth Cheruku, Tingyi Wanyan, Donghan M Yang, Qinbo Zhou, Michael E Jessen, Javier A Neyra, Xiaowei Zhan, Yang Xie, Amanda Fox
Published: 202610.1053/j.jvca.2025.09.045
Abstract
OBJECTIVE: We aimed to develop and evaluate cardiac surgery-associated acute kidney injury (CSA-AKI) machine learning prediction models that included clinical variables, biomarkers, and high-frequency hemodynamic measurements. DESIGN: A prospective,…
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