AI Medical Compendium Journal:
Journal of cardiovascular electrophysiology

Showing 1 to 8 of 8 articles

Machine Learning-Driven Identification of Distinct Persistent Atrial Fibrillation Phenotypes: A Cluster Analysis of DECAAF II.

Journal of cardiovascular electrophysiology Dec 23, 2024
INTRODUCTION: Catheter ablation of persistent atrial fibrillation yields sub-optimal success rates partly due to the considerable heterogeneity within the patient population. Identifying distinct patient phenotypes based on post-ablation prognosis co...
Male Middle Aged Risk Assessment Time Factors Female Reproducibility of Results Risk Factors Aged Atrial Fibrillation Heart Rate Catheter Ablation Humans Recurrence Machine Learning Treatment Outcome Decision Support Techniques Cluster Analysis Phenotype Action Potentials Predictive Value of Tests
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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...
Humans Machine Learning Retrospective Studies Female Risk Assessment Time Factors Treatment Outcome Action Potentials Risk Factors Aged Male Middle Aged Recurrence Atrial Function, Left Pulmonary Veins Atrial Remodeling Atrial Fibrillation Heart Atria Heart Rate Catheter Ablation Predictive Value of Tests Registries Fibrosis
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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.
Heart Rate Catheter Ablation Atrial Function, Left Middle Aged Deep Learning Electrocardiography Action Potentials Predictive Value of Tests Signal Processing, Computer-Assisted Atrial Fibrillation Heart Atria Female Reproducibility of Results Aged Male Humans Algorithms Retrospective Studies
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Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.

Journal of cardiovascular electrophysiology Mar 4, 2024
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to e...
Humans Artificial Intelligence Retrospective Studies Female Aged Operative Time Predictive Value of Tests Fluoroscopy Arrhythmias, Cardiac Heart Rate Time Factors Male Catheter Ablation Middle Aged Electrocardiography Time-to-Treatment Case-Control Studies Treatment Outcome Electrophysiologic Techniques, Cardiac Action Potentials
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Erroneous electrocardiographic interpretations and its clinical implications.

Journal of cardiovascular electrophysiology Jun 5, 2023
INTRODUCTION: The advancement of artificial intelligence (AI) has aided clinicians in the interpretation of electrocardiograms (ECGs) serving as an essential tool to provide rapid triage and care. However, in some cases, AI can misinterpret an ECG an...
Anti-Arrhythmia Agents Atrial Fibrillation Heart Block Retrospective Studies Male Electrocardiography Anticoagulants Humans Artificial Intelligence
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A method to screen left ventricular dysfunction through ECG based on convolutional neural network.

Journal of cardiovascular electrophysiology Feb 15, 2021
OBJECTIVE: This study aims to develop an artificial intelligence-based method to screen patients with left ventricular ejection fraction (LVEF) of 50% or lesser using electrocardiogram (ECG) data alone.
Retrospective Studies Ventricular Function, Left Ventricular Dysfunction, Left Stroke Volume Electrocardiography Humans Neural Networks, Computer Artificial Intelligence
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Artificial intelligence-augmented ECG assessment: The promise and the challenge.

Journal of cardiovascular electrophysiology Mar 11, 2019
Humans Death, Sudden, Cardiac Artificial Intelligence Electrocardiography
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Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.

Journal of cardiovascular electrophysiology Mar 10, 2019
OBJECTIVES: We sought to validate a deep learning algorithm designed to predict an ejection fraction (EF) less than or equal to 35% based on the 12-lead electrocardiogram (ECG) in a large prospective cohort.
Female Humans Prospective Studies Reproducibility of Results Ventricular Dysfunction, Left Aged Prognosis Aged, 80 and over Electrocardiography Middle Aged Male Predictive Value of Tests Diagnosis, Computer-Assisted Signal Processing, Computer-Assisted Ventricular Function, Left Deep Learning Heart Rate Stroke Volume Echocardiography
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