Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence

LAA morphology and volume are strongly linked to AF RFCA outcomes. We developed an LAA segmentation network and a predictive model that combines DL radiomics and clinical variables to estimate the probability of AF recurrence.