Predicting incident atrial fibrillation in sinus rhythm: more than just trusting the ‘black box’
Author:
Publisher
BMJ
Subject
Cardiology and Cardiovascular Medicine
Reference9 articles.
1. Prevalence of Diagnosed Atrial Fibrillation in Adults
2. Impact of Atrial Fibrillation on Mortality, Stroke, and Medical Costs
3. Estimation of Total Incremental Health Care Costs in Patients With Atrial Fibrillation in the United States
4. Cryptogenic Stroke and Underlying Atrial Fibrillation
5. Electrocardiographic biomarkers to predict atrial fibrillation in sinus rhythm electrocardiograms
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1. Screening Tool for Paroxysmal Atrial Fibrillation Based on a Deep-Learning Algorithm Using Printed 12-Lead Electrocardiographic Records during Sinus Rhythm;Reviews in Cardiovascular Medicine;2024-07-02
2. Prediction of Atrial Fibrillation from Sinus-Rhythm Electrocardiograms Based on Deep Neural Networks: Analysis of Time Intervals and Longitudinal Study;IRBM;2023-12
3. Clinical applicability of an artificial intelligence prediction algorithm for early prediction of non-persistent atrial fibrillation;Frontiers in Cardiovascular Medicine;2023-09-13
4. Stroke and Thromboembolism in Patients with Heart Failure and Sinus Rhythm: A Matter of Risk Stratification?;Thrombosis and Haemostasis;2022-01-19
5. Heartbeat: ECG approaches to early detection of atrial fibrillation;Heart;2021-10-27
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