Electrocardiogram-based deep learning to predict mortality in paediatric and adult congenital heart disease
Joshua Mayourian,
Amr El-Bokl,
Platon Lukyanenko
et al.
Abstract:Background and Aims
Robust and convenient risk stratification of patients with paediatric and adult congenital heart disease (CHD) is lacking. This study aims to address this gap with an artificial intelligence-enhanced electrocardiogram (ECG) tool across the lifespan of a large, diverse cohort with CHD.
Methods
A convolutional neural network was trained (50%) and tested (50%) on ECGs obtained in cardiology clinic at the Bost… Show more
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