Arrhythmias & electrophysiologyResearch article
Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice?
- Narrative review
Study context
- Population
- Prediction of incident atrial fibrillation (AF)
Main finding
As reported in the abstract
Prediction of incident AF by polygenic risk scores and AI (deep learning) on sinus rhythm ECG
- Polygenic risk scores: good predictive ability, possible additive value to clinical AF prediction scores
- AI of increasing interest in AF prediction using single or multiple lead sinus rhythm ECG
Original publication
Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice? Europace. Published 29 July 2024. doi:10.1093/europace/euae201
Summarised from the published abstract; every number is checked against it