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Atrial Function, Left

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Effects of Transcatheter Mitral Valve Repair With MitraClip on Left Ventricular and Atrial Hemodynamic Load and Myocardial Wall Stress.

Journal of cardiac failure 29292112
AIMS: To evaluate the effects of MitraClip on left ventricular (LV) and left atrial (LA) myocardial wall stress as assessed with the use of N-terminal pro-B-type natriuretic peptide (NT-proBNP) and strain imaging.
Aged Atrial Function, Left Echocardiography Female Follow-Up Studies Heart Atria Heart Valve Prosthesis Implantation Heart Ventricles Humans Male Mitral Valve Mitral Valve Insufficiency Prosthesis Design Time Factors Ventricular Function, Left Ventricular Remodeling
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Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.

Circulation. Arrhythmia and electrophysiology 32631100
BACKGROUND: Advances in ablation for atrial fibrillation (AF) continue to be hindered by ambiguities in mapping, even between experts. We hypothesized that convolutional neural networks (CNN) may enable objective analysis of intracardiac activation i...
Action Potentials Aged Atrial Fibrillation Atrial Function, Left Atrial Function, Right Diagnosis, Computer-Assisted Electrophysiologic Techniques, Cardiac Female Heart Rate Humans Male Middle Aged Neural Networks, Computer Pattern Recognition, Automated Predictive Value of Tests Registries Reproducibility of Results Signal Processing, Computer-Assisted Support Vector Machine Time Factors
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Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.

Circulation. Arrhythmia and electrophysiology 33576688
[Figure: see text].
Action Potentials Atrial Fibrillation Atrial Function, Left Catheter Ablation Female Fractals Heart Atria Heart Rate Humans Machine Learning Male Middle Aged Predictive Value of Tests Pulmonary Veins Radiographic Image Interpretation, Computer-Assisted Recurrence Retrospective Studies Risk Assessment Risk Factors Tomography, X-Ray Computed Treatment Outcome
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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 35089057
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 ...
Action Potentials Atrial Fibrillation Atrial Function, Left Atrial Remodeling Catheter Ablation Electrocardiography, Ambulatory Fibrosis Heart Rate Humans Machine Learning Magnetic Resonance Imaging Models, Cardiovascular Patient-Specific Modeling Recurrence Risk Assessment Risk Factors Time Factors Treatment Outcome
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Deep learning of left atrial structure and function provides link to atrial fibrillation risk.

Nature communications 38773065
Increased left atrial volume and decreased left atrial function have long been associated with atrial fibrillation. The availability of large-scale cardiac magnetic resonance imaging data paired with genetic data provides a unique opportunity to asse...
Aged Atrial Fibrillation Atrial Function, Left Deep Learning Female Genetic Loci Genetic Predisposition to Disease Genome-Wide Association Study Heart Atria Humans Magnetic Resonance Imaging Male Mendelian Randomization Analysis Middle Aged Risk Factors Stroke Stroke Volume United Kingdom
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An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation.

Journal of cardiovascular electrophysiology 39054663
OBJECTIVES: We aimed to construct an artificial intelligence-enabled electrocardiogram (ECG) algorithm that can accurately predict the presence of left atrial low-voltage areas (LVAs) in patients with persistent atrial fibrillation.
Action Potentials Aged Algorithms Atrial Fibrillation Atrial Function, Left Catheter Ablation Deep Learning Electrocardiography Female Heart Atria Heart Rate Humans Male Middle Aged Predictive Value of Tests Reproducibility of Results Retrospective Studies Signal Processing, Computer-Assisted
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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 39611529
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...
Action Potentials Aged Atrial Fibrillation Atrial Function, Left Atrial Remodeling Catheter Ablation Female Fibrosis Heart Atria Heart Rate Humans Machine Learning Male Middle Aged Predictive Value of Tests Pulmonary Veins Recurrence Registries Retrospective Studies Risk Assessment Risk Factors Time Factors Treatment Outcome
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Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Journal of cardiovascular computed tomography 39794233
BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among...
Aged Aged, 80 and over Aortic Valve Aortic Valve Stenosis Artificial Intelligence Atrial Function, Left Automation Computed Tomography Angiography Coronary Angiography Female Humans Male Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Risk Assessment Risk Factors Severity of Illness Index Stroke Volume Time Factors Transcatheter Aortic Valve Replacement Treatment Outcome Ventricular Function, Left
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