AIMC Topic: Atrial Remodeling

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AI-guided spatiotemporal dispersion mapping for individualized ablation in an all-comer cohort with atrial fibrillation.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Jun 6, 2025
BACKGROUND: Artificial intelligence (AI)-guided spatiotemporal dispersion (stD) mapping has been shown to improve outcomes in patients with persistent atrial fibrillation (AF). However, the relationship between stD mapping and markers of atrial cardi...
Cohort Studies Humans Treatment Outcome Artificial Intelligence Surgery, Computer-Assisted Female Aged Male Retrospective Studies Middle Aged Pulmonary Veins Electrophysiologic Techniques, Cardiac Catheter Ablation Atrial Remodeling Body Surface Potential Mapping Atrial Fibrillation
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12 lead surface ECGs as a surrogate of atrial electrical remodeling - a deep learning based approach.

Journal of electrocardiology Dec 25, 2024
BACKGROUND AND PURPOSE: Atrial fibrillation (AF), a common arrhythmia, is linked with atrial electrical and structural changes, notably low voltage areas (LVAs) which are associated with poor ablation outcomes and increased thromboembolic risk. This ...
Humans Retrospective Studies Male Middle Aged Deep Learning Female Aged Heart Atria Catheter Ablation Atrial Remodeling Electrocardiography Atrial Fibrillation
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Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation.

Journal of cardiovascular electrophysiology Nov 29, 2024
BACKGROUND: Left atrial (LA) remodeling plays a significant role in the progression of atrial fibrillation (AF). Although LA wall thickness (LAWT) has emerged as an indicator of structural remodeling, its impact on AF outcomes remains unclear. We aim...
Atrial Remodeling Atrial Function, Left Pulmonary Veins Atrial Fibrillation Heart Atria Catheter Ablation Recurrence Heart Rate Predictive Value of Tests Registries Fibrosis Treatment Outcome Action Potentials Aged Retrospective Studies Male Risk Assessment Humans Middle Aged Female Machine Learning Risk Factors Time Factors
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Machine Learning Algorithm to Predict Atrial Fibrillation Using Serial 12-Lead ECGs Based on Left Atrial Remodeling.

Journal of the American Heart Association Sep 30, 2024
BACKGROUND: We hypothesized that analysis of serial ECGs could predict new-onset atrial fibrillation (AF) more accurately than analysis of a single ECG by detecting the subtle cardiac remodeling that occurs immediately before AF occurrence. Our aim i...
Middle Aged Electrocardiography Atrial Fibrillation Atrial Remodeling Predictive Value of Tests Humans Female Aged Algorithms Machine Learning Male Retrospective Studies
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Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.

Circulation. Arrhythmia and electrophysiology Jan 28, 2022
BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response is challenging to predict. Clinical trials identify bedside properties that provide only modest prediction of long-term response in populations, while ...
Catheter Ablation Risk Factors Treatment Outcome Atrial Remodeling Electrocardiography, Ambulatory Magnetic Resonance Imaging Recurrence Risk Assessment Humans Action Potentials Models, Cardiovascular Atrial Fibrillation Fibrosis Time Factors Atrial Function, Left Machine Learning Heart Rate Patient-Specific Modeling
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