AIMC Topic: Atrial Function, Left

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Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.

The international journal of cardiovascular imaging Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Reproducibility of Results Aged Male Middle Aged Deep Learning Time Factors Magnetic Resonance Imaging Humans Predictive Value of Tests Female Atrial Fibrillation Heart Atria Heart Rate Image Interpretation, Computer-Assisted Observer Variation Automation Blood Flow Velocity Atrial Function, Left Magnetic Resonance Imaging, Cine
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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 Jan 9, 2025
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...
Stroke Volume Atrial Function, Left Risk Assessment Computed Tomography Angiography Female Severity of Illness Index Transcatheter Aortic Valve Replacement Risk Factors Time Factors Aged Treatment Outcome Humans Aged, 80 and over Aortic Valve Stenosis Artificial Intelligence Male Aortic Valve Retrospective Studies Ventricular Function, Left Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Automation
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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...
Risk Factors Aged Male Middle Aged Risk Assessment Time Factors Humans Machine Learning Retrospective Studies Female Atrial Fibrillation Heart Atria Heart Rate Catheter Ablation Recurrence Atrial Function, Left Treatment Outcome Action Potentials Predictive Value of Tests Registries Fibrosis Pulmonary Veins Atrial Remodeling
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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 Jul 25, 2024
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.
Atrial Function, Left Male Middle Aged Deep Learning Electrocardiography Action Potentials Humans Predictive Value of Tests Algorithms Signal Processing, Computer-Assisted Retrospective Studies Atrial Fibrillation Female Heart Atria Reproducibility of Results Heart Rate Aged Catheter Ablation
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Deep learning of left atrial structure and function provides link to atrial fibrillation risk.

Nature communications May 21, 2024
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...
Genetic Loci Atrial Fibrillation Heart Atria United Kingdom Atrial Function, Left Risk Factors Aged Male Deep Learning Stroke Volume Genome-Wide Association Study Middle Aged Humans Genetic Predisposition to Disease Female Magnetic Resonance Imaging Mendelian Randomization Analysis Stroke
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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 ...
Humans Machine Learning Risk Factors Risk Assessment Time Factors Atrial Function, Left Treatment Outcome Models, Cardiovascular Magnetic Resonance Imaging Patient-Specific Modeling Action Potentials Atrial Remodeling Electrocardiography, Ambulatory Fibrosis Atrial Fibrillation Heart Rate Catheter Ablation Recurrence
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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 Feb 12, 2021
[Figure: see text].
Fractals Pulmonary Veins Atrial Fibrillation Retrospective Studies Heart Atria Risk Assessment Tomography, X-Ray Computed Heart Rate Treatment Outcome Female Catheter Ablation Risk Factors Recurrence Action Potentials Male Humans Atrial Function, Left Predictive Value of Tests Middle Aged Machine Learning Radiographic Image Interpretation, Computer-Assisted
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Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.

Circulation. Arrhythmia and electrophysiology Jul 6, 2020
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...
Predictive Value of Tests Signal Processing, Computer-Assisted Registries Atrial Fibrillation Heart Rate Pattern Recognition, Automated Middle Aged Diagnosis, Computer-Assisted Time Factors Support Vector Machine Action Potentials Atrial Function, Left Electrophysiologic Techniques, Cardiac Atrial Function, Right Humans Neural Networks, Computer Female Reproducibility of Results Aged Male
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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 Dec 29, 2017
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.
Mitral Valve Mitral Valve Insufficiency Ventricular Remodeling Echocardiography Heart Valve Prosthesis Implantation Time Factors Atrial Function, Left Humans Follow-Up Studies Female Prosthesis Design Aged Heart Ventricles Male Heart Atria Ventricular Function, Left
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