ESC 365 - Prediction of atrial fibrillation recurrence after ablation: the impact of machine learning and recurrence during the blanking period

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

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

Topic: Rhythm Control, Catheter Ablation

Speaker: Doctor J. Almeida (Vila Nova de Gaia, PT)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Joao Almeida

Hospital Center of Vila Nova de Gaia/Espinho, Vila Nova de Gaia (Portugal)

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8 more presentations in this session

Long-term prognosis in patients undergoing atrial fibrillation ablation

Speaker: Doctor M. Kiliszek (Warsaw, PL)

Biomarkers in early and late period after radiofrequency and pulsed field catheter ablation of atrial fibrillation

Speaker: Miss B. Stekla (Prague, CZ)

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

Speaker: Doctor S. Feickert (Berlin, DE)

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

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ESC Congress 2024

30 August - 2 September 2024

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