Open access
Aug 2026
Neural network-based prediction of atrial fibrillation at discharge following cardiac surgery
A machine learning model integrating perioperative electrocardiographic and clinical variables demonstrated robust performance in predicting the absence of atrial fibrillation at discharge, accurately identifying more than two thirds of patients.
S. Leiler, W. Hitzl, Andre Bauer et al.
· Frontiers in Cardiovascular... · 0 citations