System and method for non-invasive prediction of pulmonary vein reconnection post-atrial fibrillation ablation using body surface electrocardiograms

An apparatus for prediction of repeat ablation efficacy, the apparatus comprising:

• an electrocardiogram device, wherein the electrocardiogram device is configured to detect post-ablation arrhythmic electrocardiogram (ECG) data representative of a post-ablation arrythmia of a patient who has previously undergone an ablation procedure;
• at least a processor;
• and
• a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to:
• receive, from the electrocardiogram device, the post-ablation arrhythmic ECG data;
• predict, using a repeat-ablation efficacy machine-learning model, a determination of a pulmonary vein reconnection comprising identifying features within the post-ablation arrhythmic ECG data that are historically representative of pulmonary vein reconnection determinations;
• and
• transmit, for display, the determination.