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

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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

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

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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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