Electrocardiogram-based prediction of conduction disturbances after transcatheter aortic valve replacement with convolutional neural network.

Yuheng JiaYiming LiGaden LuosangJianyong WangGang PengXingzhou PuWeili JiangWenjian LiZhengang ZhaoYong PengYuan FengJiafu WeiYuanning XuXingbin LiuZhang YiMao Chen

Published in: European heart journal. Digital health (2024)

Artificial intelligence-enhanced ECGs may offer better predictive value than traditionally defined high-risk ECG patterns.

Keyphrases

transcatheter aortic valve replacement
artificial intelligence
convolutional neural network
deep learning
aortic stenosis
aortic valve
big data
machine learning
heart rate variability
heart rate
left ventricular
ejection fraction