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1. Use of artificial intelligence and I-Score for prediction of recurrence before catheter ablation of atrial fibrillation

2. Skin sympathetic nerve activity in different ablation settings for atrial fibrillation

3. High-density characterization of the sinus rhythm: a new functional substrate map of scar-related atrial tachycardia

5. Comparison of efficacy of pulmonary vein isolation between cryoballoon ablation and high-power short-duration ablation

6. Post-ablation augmentation of skin sympathetic nerve activity predicts a poor outcome of idiopathic ventricular arrhythmias

7. Insight of electrocardiographic and electrophysiological parameters on the left ventricular function in patients with ventricular arrhythmia from left ventricular summit

8. Characterization and identification of atrial fibrillation drivers in patients with nonparoxysmal atrial fibrillation using simultaneous amplitude frequency electrogram transform

12. A Deep Learning–Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome

14. The impact of height on recurrence after index catheter ablation of paroxysmal atrial fibrillation

16. Application of dynamic display technology to identify gaps after pulmonary vein isolation in catheter ablation of atrial fibrillation

17. Low voltage zones detected by omnipolar Vmax map accurately identifies the potential atrial substrate and predicts the AF ablation outcome after PV isolation

18. Application of Ensite™ LiveView function for identification of scar‐related ventricular tachycardia isthmus

20. Abnormal Conduction Zone Detected by Isochronal Late Activation Mapping Accurately Identifies the Potential Atrial Substrate and Predicts the Atrial Fibrillation Ablation Outcome After Pulmonary Vein Isolation


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