Our Publications

Explore our peer-reviewed research and scientific contributions to AI-ECG.

2025 Heart Rhythm

Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillation

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2025 Heart Rhythm

Prediction of incident atrial fibrillation: A comprehensive evaluation of conventional and artificial intelligence-enhanced approaches

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2025 JAMA Cardiology

Artificial Intelligence–Enhanced Electrocardiography for Complete Heart Block Risk Stratification

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2025 European Heart Journal

Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study

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2025 Journal of the American Heart Association

Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree‐Based Dimensionality Reduction

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2024 The Lancet Digital Health

Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum

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2024 JAMA Cardiology

Artificial Intelligence–Enhanced Electrocardiography for Prediction of Incident Hypertension

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2024 The Lancet Digital Health

Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study

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2024 European Heart Journal - Digital Health

A comparison of artificial intelligence-enhanced electrocardiography approaches for prediction of time-to-mortality using electrocardiogram images

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2024 npj Digital Medicine

Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease

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2023 BMJ Medicine

The emerging role of artificial intelligence enabled electrocardiograms in healthcare

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2023 European Heart Journal Digital Health

Machine learning-derived cycle length variability metrics predict spontaneously terminating ventricular tachycardia in implantable cardioverter defibrillator recipients

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2023 Cardiovascular Digital Health Journal

Artificial intelligence-enabled electrocardiogram to distinguish atrioventricular re-entrant tachycardia from atrioventricular nodal re-entrant tachycardia

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2022 European Heart Journal Digital Health

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

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2022 Cardiovascular Digital Health Journal

Is machine learning the future for atrial fibrillation screening?

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2022 Nature Scientific Reports

A fully-automated paper ECG digitisation algorithm using deep learning

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