AI-ECG: interpreting electrocardiograms for clinical decision-making

Electrocardiograms (ECGs) are a cheap and ubiquitous measure of the electrical activity of the heart. Advances in AI have demonstrated enormous prognostic value in these tests, above and beyond what clinicians and traditional computerized approaches have yielded. Our work researches AI-ECG technology for predicting future outcomes for patients to assist clinical decision-making.

Interpreting AI-ECG models, from Mayourian et al. Circulation 2024
Interpreting AI-ECG models, from Mayourian et al. Circulation 2024

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Selected Papers

Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study
Joshua Mayourian, Ivor B. Asztalos, Amr El-Bokl, Platon Lukyanenko, Ryan L. Kobayashi, William G. La Cava, Sunil J. Ghelani, Victoria L. Vetter, John K. Triedman (2025)
The Lancet Digital Health
thelancet.com  |  PubMed  |  pdf
Expert-Level Automated Diagnosis of the Pediatric ECG Using a Deep Neural Network
Joshua Mayourian, William G. La Cava, Sarah D. de Ferranti, Douglas Mah, Mark Alexander, Edward Walsh, John K. Triedman (2025)
JACC: Clinical Electrophysiology
sciencedirect.com  |  pdf
A Closer Look at Mortality Risk Prediction from Electrocardiograms
Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu, John K. Triedman, Sunil J. Ghelani, William G. La Cava (2025)
Preprint
arxiv.org  |  pdf  |  code  |  blog
Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease
Joshua Mayourian, Addison Gearhart, William G. La Cava, Akhil Vaid, Girish N. Nadkarni, John K. Triedman, Andrew J. Powell, Rachel M. Wald, Anne Marie Valente, Tal Geva, Son Q. Duong, Sunil J. Ghelani (2024)
Journal of the American College of Cardiology
linkinghub.elsevier.com  |  PubMed  |  pdf
Electrocardiogram-based deep learning to predict mortality in paediatric and adult congenital heart disease
Joshua Mayourian, Amr El-Bokl, Platon Lukyanenko, William G La Cava, Tal Geva, Anne Marie Valente, John K Triedman, Sunil J Ghelani (2024)
European Heart Journal
academic.oup.com  |  PubMed  |  pdf
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling
Joshua Mayourian, William G. La Cava, Akhil Vaid, Girish N. Nadkarni, Sunil J. Ghelani, Rebekah Mannix, Tal Geva, Audrey Dionne, Mark E. Alexander, Son Q. Duong, John K. Triedman (2024)
Circulation
ahajournals.org  |  pdf
Pediatric Electrocardiogram-Based Deep Learning to Predict Secundum Atrial Septal Defects
Joshua Mayourian, Robert Geggel, William G. La Cava, Sunil J. Ghelani, John K. Triedman (2024)
Pediatric Cardiology
doi.org  |  pdf