AIMC Topic: Atrial Remodeling

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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 ...
Middle Aged Deep Learning Aged Male Heart Atria Catheter Ablation Atrial Remodeling Electrocardiography Atrial Fibrillation Humans Retrospective Studies Female
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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...
Predictive Value of Tests Registries Treatment Outcome Action Potentials Heart Atria Heart Rate Fibrosis Atrial Fibrillation Male Middle Aged Risk Assessment Time Factors Atrial Remodeling Risk Factors Aged Atrial Function, Left Retrospective Studies Pulmonary Veins Female Catheter Ablation Humans Recurrence Machine Learning
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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...
Algorithms Retrospective Studies Female Aged Humans Machine Learning Atrial Fibrillation Electrocardiography Male Atrial Remodeling Predictive Value of Tests Middle Aged
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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 ...
Patient-Specific Modeling Time Factors Atrial Remodeling Atrial Fibrillation Risk Factors Magnetic Resonance Imaging Atrial Function, Left Treatment Outcome Heart Rate Risk Assessment Catheter Ablation Action Potentials Models, Cardiovascular Recurrence Electrocardiography, Ambulatory Humans Machine Learning Fibrosis
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