Artificial Intelligence–Enhanced Electrocardiography for Complete Heart Block Risk Stratification

Can artificial intelligence–enhanced electrocardiography (AI-ECG) be used to identify individuals with risk of incident complete heart block (CHB)?This cohort study demonstrated that an AI-ECG risk model can predict the risk of incident CHB and is superior to traditional, guideline-based, ECG risk markers.The AI-ECG model termed could be used to risk-stratify patients at risk of CHB to guide treatment decisions such as rhythm monitoring or empirical pacemaker implantation.

Corresponding Authors: Arunashis Sau, MBBS, PhD (as7909@imperial.ac.uk), and Fu Siong Ng, PhD, MRCP (f.ng@imperial.ac.uk), National Heart and Lung Institute, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, United Kingdom.

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