An artificial intelligence-based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening.
Tove FredrikssonFredrik VibergErik DahlbergPeter H CharltonKatrin Kemp GudmundsdottirJonathan MantJosef Lindman HörnlundEmma SvennbergPublished in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2023)
An artificial intelligence-enabled network has the ability to predict AF from a sinus rhythm single-lead ECG. Performance improves with a wider age distribution.
Keyphrases
- artificial intelligence
- atrial fibrillation
- machine learning
- big data
- deep learning
- oral anticoagulants
- catheter ablation
- left atrial
- heart rate
- left atrial appendage
- direct oral anticoagulants
- heart failure
- percutaneous coronary intervention
- heart rate variability
- left ventricular
- venous thromboembolism
- mitral valve