Artificial intelligence-based predicting incident atrial fibrillation using sinus rhythm electrocardiogram for post-myocardial infarction patients as an image data structure

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Artificial intelligence-based predicting incident atrial fibrillation using sinus rhythm electrocardiogram for post-myocardial infarction patients as an image data structure

Session: Atrial tachyarrhythmias

Topic: Diagnostic Methods

Speaker: Associate Professor I. Kim (Seoul, KR)

Event: EHRA 2025

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Associate Professor In-Soo Kim

Gangnam Severance Hospital, Seoul (Korea (Republic of))

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Serial arterial blood gas monitoring during deep sedation for left atrial ablation procedures: a retrospective cohort study

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Correlation between tracheal carina angle and recurrence in atrial fibrillation patients undergoing catheter ablation: Is epicardial reactivation the major game changer in AF ablation success?

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Improvement in mitral and tricuspid regurgitation in patients with atrial fibrillation after restoration of sinus rhythm - a prospective cohort study

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Atrial fibrillation source ablation guided by preferential conduction directions is superior to conventional ablation strategies in preventing re-initiation in a realistic 3D in-silico model

Speaker: Mr V. Goncalves Marques (Maastricht, NL)

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Atrial tachyarrhythmias

Speakers: Associate Professor I. Kim, Doctor V. Buia, Doctor N. Pierucci, Doctor Y. YAMANTURK, Doctor F. Schwarz...

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About the event

EHRA 2025

30 March - 1 April 2025

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