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Doctor Ferenc Komlosi

Semmelweis University, Budapest (Hungary)
Membership: ESC Professional Member EHRA Member
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Machine-learning analysis of paced P-wave morphologies to identify atrial ectopy origin in atrial fibrillation patients
Presentation
Machine-learning analysis of paced P-wave morphologies to identify atrial ectopy origin in atrial fibrillation patients
Comparative efficacy of high-power short duration and very-high power short-duration PVI: a post-hoc analysis of two randomized studies
Presentation
Comparative efficacy of high-power short duration and very-high power short-duration PVI: a post-hoc analysis of two randomized studies
Comparative effectiveness of different management strategies for left atrial appendage thrombus in patients on optimal NOAC therapy
Presentation
Comparative effectiveness of different management strategies for left atrial appendage thrombus in patients on optimal NOAC therapy
Successful epicardial ablation for ventricular tachycardia in patient with substernal ICD
Presentation
Successful epicardial ablation for ventricular tachycardia in patient with substernal ICD
Machine learning based prediction of 1-year arrhythmia recurrence after ventricular tachycardia ablation in patients with structural heart disease
Presentation
Machine learning based prediction of 1-year arrhythmia recurrence after ventricular tachycardia ablation in patients with structural heart disease
Machine learning based risk stratification of patients undergoing ventricular tachycardia ablation
Presentation
Machine learning based risk stratification of patients undergoing ventricular tachycardia ablation
Factors predicting repeated ablation in ventricular tachycardia patients
Presentation
Factors predicting repeated ablation in ventricular tachycardia patients

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