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

Funding

Kosten Innovation Fund

Selected Papers

Benchmarking mortality risk prediction from electrocardiograms

Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu, John K. Triedman, Sunil J. Ghelani, William G. La Cava (2024)

Preprint

arxiv.org  |  pdf  |  code

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

Deep learning-based electrocardiogram analysis to predict biventricular dysfunction and dilation in congenital heart disease

Joshua Mayourian, Addison Gearhart, William G La Cava, John K. Triedman, Andrew J. Powell, Anne Marie Valente, Tal Geva, Sunil J. Ghelani (2024)

Journal of the American College of Cardiology

jacc.org  |  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

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