Aug 2026
Real-Time Dynamic Prediction of Mortality and Renal Replacement Therapy After Cardiac Surgery Using a Time-Series Deep Learning Model.
OBJECTIVE Predicting postoperative deterioration following cardiac surgery remains challenging. Conventional risk scores rely on static variables and fail to capture evolving physiologic trajectories. We developed a time-series deep learning model (DLM) using serial ICU measurements to dynamically predict mortality and...
Mohamad El Moheb, Elio R. Bitar, Kristin Putman et al.
· Journal of Thoracic and Card... · 0 citations