Ppulsed field ablation and ultra-high-density mapping for PVI: use of machine learning and data augmentation to guide procedure and identify recurrent tachycardia mechanisms at one-year follow-up

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Ppulsed field ablation and ultra-high-density mapping for PVI: use of machine learning and data augmentation to guide procedure and identify recurrent tachycardia mechanisms at one-year follow-up

Session: Predicting outcomes after catheter ablation for atrial fibrillation: ablation technique, biomarkers, and machine learning

Topic: Rhythm Control, Catheter Ablation

Speaker: Doctor S. Feickert (Berlin, DE)

Event: ESC Congress 2024

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About the speaker

Doctor Sebastian Feickert

Vivantes Klinikum Am Urban, Berlin (Germany)

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8 more presentations in this session

Prediction of atrial fibrillation recurrence after ablation: the impact of machine learning and recurrence during the blanking period

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Speaker: Doctor M. Kiliszek (Warsaw, PL)

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Speaker: Miss B. Stekla (Prague, CZ)

An in-silico comparison of anatomical and substrate based AF ablation using electro and optical flow mapping

Speaker: Mr O. Jaffery (London, GB)

Secretoneurin plasma levels are decreased after catheter ablation for atrial fibrillation, patients with AF produce lower SN levels than healthy individuals

Speaker: Associate Professor J. Plasek (Ostrava, CZ)

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Predicting outcomes after catheter ablation for atrial fibrillation: ablation technique, biomarkers, and machine learning

Speakers: Doctor S. Feickert, Doctor J. Almeida, Doctor M. Kiliszek, Miss B. Stekla, Mr O. Jaffery...

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ESC Congress 2024

30 August - 2 September 2024

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