AFA-Recur: an ESC EORP AFA-LT registry machine-learning web calculator predicting atrial fibrillation recurrence after ablation.
Andrea SagliettoFiorenzo GaitaCarina Blomstrom-LundqvistElena ArbeloNikolaos DagresJosep BrugadaAldo Pietro MaggioniLuigi TavazziJosef KautznerGaetano Maria De FerrariMatteo AnselminoPublished 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 (2022)
AFA-Recur, a machine-learning-based probability score predicting 1-year risk of recurrent atrial arrhythmia after AF ablation, achieved good predictive performance, significantly better than currently available tools. The calculator, freely available online, allows patient-specific predictions, favouring tailored therapeutic approaches for the individual patient.
Keyphrases
- catheter ablation
- atrial fibrillation
- machine learning
- left atrial
- left atrial appendage
- oral anticoagulants
- direct oral anticoagulants
- artificial intelligence
- heart failure
- big data
- case report
- social media
- deep learning
- percutaneous coronary intervention
- health information
- smoking cessation
- radiofrequency ablation
- healthcare