Joshua Mayourian

Boston Children's Hospital — United States

Medicine · Health Sciences

16h-index1.4kcitations60works6.92yr avg
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Research Topics

Congenital Heart Disease Studies(15), Cardiovascular Function and Risk Factors(11), Tissue Engineering and Regenerative Medicine(11), Cardiac electrophysiology and arrhythmias(10), ECG Monitoring and Analysis(10)

Publications60 total

Multicenter validation of AI-enabled ECG for pediatric biological sex prediction
npj Digital Medicine·2026Open Access
Deep survival analysis from adult and pediatric electrocardiograms: a multi-center benchmark study
BioData Mining·2025Open Access
Cardiac surveillance of childhood cancer using artificial intelligence-enabled electrocardiograms
European Heart Journal - Digital Health·2025Open Access
Robust AI-ECG for Predicting Left Ventricular Systolic Dysfunction in Pediatric Congenital Heart Disease
arXiv (Cornell University)·2025Open Access
Infant Electrocardiogram-Based Deep Learning Predicts Critical Congenital Heart Disease
JACC. Clinical electrophysiology·2025· 1 cited
Seeing Is Believing
Journal of the American College of Cardiology·2025· 2 cited
Artificial intelligence-enabled electrocardiogram guidance for pulmonary valve replacement timing in repaired tetralogy of Fallot
American Heart Journal·2025Open Access
Artificial Intelligence–Enabled Electrocardiograms
JACC Advances·2025Open Access
Artificial Intelligence-Enabled ECG to Detect Congenitally Corrected Transposition of the Great Arteries
Pediatric Cardiology·2025· 3 cited
Dysregulation of N-terminal acetylation causes cardiac arrhythmia and cardiomyopathy
Nature Communications·2025· 3 citedOpen Access
Development and Validation of a Novel Deep Learning Model to Predict Pharmacologic Closure of Patent Ductus Arteriosus in Premature Infants
Journal of the American Society of Echocardiography·2025· 3 cited
ELECTROCARDIOGRAM-BASED DEEP LEARNING PROVIDES EXPERT-LEVEL AUTOMATED DIAGNOSIS OF THE PEDIATRIC 12-LEAD ECG
Journal of the American College of Cardiology·2025Open Access
ARTIFICIAL INTELLIGENCE-ENABLED ELECTROCARDIOGRAM PREDICTION OF MRI-BASED VENTRICULAR SIZE AND FUNCTION CRITERIA FOR PULMONARY VALVE REPLACEMENT IN TETRALOGY OF FALLOT
Journal of the American College of Cardiology·2025
ELECTROCARDIOGRAM-BASED DEEP LEARNING PREDICTS LEFT VENTRICULAR SYSTOLIC DYSFUNCTION IN PEDIATRIC AND ADULT CONGENITAL HEART DISEASE
Journal of the American College of Cardiology·2025Open Access
Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study
The Lancet Digital Health·2025· 8 citedOpen Access
Expert-Level Automated Diagnosis of the Pediatric ECG Using a Deep Neural Network
JACC. Clinical electrophysiology·2025· 5 cited
Artificial Intelligence–Enabled Electrocardiogram Predicts Sudden Cardiac Death in Repaired Tetralogy of Fallot
JACC. Clinical electrophysiology·2025· 2 cited
Cardiac Applications of CRISPR/AAV-Mediated Precise Genome Editing
2024Open Access
Electrocardiogram-based deep learning to predict mortality in paediatric and adult congenital heart disease
European Heart Journal·2024· 21 citedOpen Access
Electrocardiogram-Based Deep Learning to Predict Mortality in Repaired Tetralogy of Fallot
JACC. Clinical electrophysiology·2024· 6 cited
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Frequent Co-authors

John K. Triedman(19), Kevin D. Costa(15), Sunil J. Ghelani(12), Roger J. Hajjar(11), William La Cava(11), Tal Geva(7), Susmita Sahoo(6), Delaine K. Ceholski(6), Francesca Stillitano(6), Eric A. Sobie(6), Vassilios J. Bezzerides(6), Anne Marie Valente(6), William T. Pu(5), Irene C. Turnbull(5), Platon Lukyanenko(5), Prabhu Mathiyalagan(4), Jack F. Murphy(4), Timothy J. Cashman(4), Maksymilian Prondzynski(4), Yashasvi Tharani(4)