AI Medical Compendium Journal:
Circulation. Arrhythmia and electrophysiology

Showing 1 to 10 of 25 articles

Comparing Phenotypes for Acute and Long-Term Response to Atrial Fibrillation Ablation Using Machine Learning.

Circulation. Arrhythmia and electrophysiology Feb 10, 2025
BACKGROUND: It is difficult to identify patients with atrial fibrillation (AF) most likely to respond to ablation. While any arrhythmia patient may recur after acutely successful ablation, AF is unusual in that patients may have long-term arrhythmia ...
Female Aged Male Middle Aged Time Factors Humans Machine Learning Phenotype Registries Atrial Fibrillation Heart Rate Catheter Ablation Electrophysiologic Techniques, Cardiac Electrocardiography Treatment Outcome Action Potentials Predictive Value of Tests
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Engineering of Generative Artificial Intelligence and Natural Language Processing Models to Accurately Identify Arrhythmia Recurrence.

Circulation. Arrhythmia and electrophysiology Dec 16, 2024
BACKGROUND: Large language models (LLMs) such as Chat Generative Pre-trained Transformer (ChatGPT) excel at interpreting unstructured data from public sources, yet are limited when responding to queries on private repositories, such as electronic hea...
Recurrence Humans Artificial Intelligence Electronic Health Records Female Male Generative Artificial Intelligence Predictive Value of Tests Natural Language Processing Arrhythmias, Cardiac
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Using Atrial Fibrillation Burden Trends and Machine Learning to Predict Near-Term Risk of Cardiovascular Hospitalization.

Circulation. Arrhythmia and electrophysiology Oct 24, 2024
BACKGROUND: Atrial fibrillation is associated with an increased risk of cardiovascular hospitalization (CVH), which may be triggered by changes in daily burden. Machine learning of dynamic trends in atrial fibrillation burden, as measured by insertab...
Retrospective Studies Female Risk Factors Hospitalization Aged Humans Machine Learning Databases, Factual Prognosis Time Factors Predictive Value of Tests Electrocardiography, Ambulatory Aged, 80 and over Atrial Fibrillation Male Heart Rate Middle Aged Risk Assessment
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Electrocardiogram-Based Artificial Intelligence to Discriminate Cardioembolic Stroke and Stratify Risk of Atrial Fibrillation After Stroke.

Circulation. Arrhythmia and electrophysiology Aug 28, 2024
Predictive Value of Tests Stroke Atrial Fibrillation Heart Rate Embolic Stroke Male Middle Aged Risk Assessment Electrocardiography Humans Artificial Intelligence Female Risk Factors Aged
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Deep Learning of ECG for the Prediction of Postoperative Atrial Fibrillation.

Circulation. Arrhythmia and electrophysiology Jan 30, 2023
Deep Learning Electrocardiography Predictive Value of Tests Atrial Fibrillation Humans
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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 ...
Atrial Function, Left Models, Cardiovascular Patient-Specific Modeling Atrial Remodeling Atrial Fibrillation Heart Rate Catheter Ablation Machine Learning Recurrence Risk Factors Humans Risk Assessment Time Factors Treatment Outcome Magnetic Resonance Imaging Action Potentials Electrocardiography, Ambulatory Fibrosis
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Coronary Microvascular Dysfunction and the Risk of Atrial Fibrillation From an Artificial Intelligence-Enabled Electrocardiogram.

Circulation. Arrhythmia and electrophysiology Aug 16, 2021
Humans Electrocardiography Artificial Intelligence Coronary Angiography Female Male Atrial Fibrillation Middle Aged Myocardial Ischemia
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Impact of ECG Characteristics on the Performance of an Artificial Intelligence Enabled ECG for Predicting Left Ventricular Dysfunction.

Circulation. Arrhythmia and electrophysiology May 17, 2021
Ventricular Function, Left Middle Aged Electrocardiography Predictive Value of Tests Emergency Service, Hospital Signal Processing, Computer-Assisted Heart Rate Ventricular Dysfunction, Left Retrospective Studies Female Reproducibility of Results Aged Male Humans Artificial Intelligence Prognosis
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Machine Learning Algorithms for Prediction of Permanent Pacemaker Implantation After Transcatheter Aortic Valve Replacement.

Circulation. Arrhythmia and electrophysiology Mar 9, 2021
Atrioventricular Block Machine Learning Decision Support Techniques Predictive Value of Tests Prospective Studies Cardiac Pacing, Artificial Retrospective Studies Heart Rate Risk Factors Transcatheter Aortic Valve Replacement Pacemaker, Artificial Risk Assessment Treatment Outcome Action Potentials Aortic Valve Humans
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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].
Atrial Function, Left Fractals Pulmonary Veins Treatment Outcome Action Potentials Female Predictive Value of Tests Atrial Fibrillation Risk Factors Radiographic Image Interpretation, Computer-Assisted Heart Atria Male Heart Rate Humans Middle Aged Catheter Ablation Machine Learning Risk Assessment Recurrence Retrospective Studies Tomography, X-Ray Computed
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