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