Artificial intelligence-enabled electrocardiogram to distinguish cavotricuspid isthmus dependence from other atrial tachycardia mechanisms .

Arunashis SauSafi IbrahimAmar AhmedBalvinder HandaDaniel B KramerJonathan W WaksAhran D ArnoldJames P HowardNorman QureshiMichael Koa-WingDaniel KeeneLouisa Malcolme-LawesDavid C LefroyNicholas W F LintonPhang Boon LimAmanda VarnavaZachary I WhinnettPrapa KanagaratnamDanilo MandicNicholas S PetersFu Siong Ng

Published in: European heart journal. Digital health (2022)

We describe the first CNN trained to differentiate CTI-dependent AFL from other AT using the ECG. Our model matched and complemented expert electrophysiologist performance. Automated artificial intelligence-enhanced ECG analysis could help guide treatment decisions and plan ablation procedures for patients with organized atrial arrhythmias.

Keyphrases

artificial intelligence
catheter ablation
machine learning
deep learning
big data
atrial fibrillation
left atrial
convolutional neural network
heart rate variability
heart rate
heart failure
clinical practice
blood pressure
radiofrequency ablation
left ventricular
replacement therapy
single cell