Figure 3.

Prediction of AF recurrence post-PVI using ML on Features Derived from raw LGE-MRI and SimAF. Training (a), validation (b), and testing (c) receiver operating characteristic (ROC) curve for quadratic discriminant analysis classifier trained using features derived from imaging and SimAF (solid yellow line), imaging only (dashed blue line), and SimAF only (dashed red line). ROC curves were calculated by aggregating the results of 10-fold nested cross validation. simulations of atrial fibrillation induction (SimAF), imaging (I), area under the curve (AUC).