Explainable machine learning models for early prediction of acute kidney injury after cardiac surgery

ML models, particularly the ensemble approach, provide reliable prediction of CSA-AKI, with generalizability validated in an external cohort. These models facilitate early identification of high-risk patients, enabling timely perioperative interventions to improve clinical outcomes.