Josh Mayourian (@jmayour) header
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Director, Congenital Heart Artificial Intelligence (CHAI) Lab. Pediatric Cardiology & EP Fellow, Boston Children’s Hospital. MD/PhD Mount Sinai.

Joined February 2010
Photo by Josh Mayourian (@jmayour)
Honored to have this AI-ECG work published in Lancet: Digital Health. In this study, we show AI-ECG detects current & future risk of LVEF ≤ 40% across a wide range of congenital heart lesions in kids & adults. Thankful for our team at BCH and collaborators at CHOP & UT Austin
NEW Research: Electrocardiogram-based #DeepLearning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study. @jmayour Read it here: thelancet.com/journals/landi…
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🫀✨ Really exciting AI-echo work in congenital heart disease. EchoFocus-CHD is a multitask model built from ~3.6 million echo videos across ~58,000 studies, with data spanning 58 countries and 6 continents 🌍 The model showed: 🔹 Excellent internal performance for critical CHD 🔹 Important real-world testing across outside referral studies 🔹 Better international performance after retraining on broader data @sgcard @jmayour @JohnTriedmanMD @FraSperotto @BostonChildrens #CardioX #PedsCardiology #Echocardiography #AIinMedicine #DigitalHealth #CongenitalHeartDisease #ASE #ACHD #Congenitalheartdisease
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#SimPub #ACC26 AI-driven echo interpretation for congenital heart disease: EchoFocus-CHD detected critical CHD with excellent performance. A potential to bring expert-level pediatric cardiology to r... ahajrnls.org/4dgByXC @jmayour @DanielleSganga @FraSperotto @sgcard @lacava
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🫀 Proud of this collaboration led by @jmayour: AI-enhanced infant #ECGs can accurately detect #critical #congenital #heart #disease (CCHD). This low-cost tool could complement pulse oximetry screening, reduce late diagnoses, & improve care globally. 👉 doi.org/10.1016/j.jacep.2025… #AI #Cardiology #Pediatrics #CongenitalHeartDisease #DigitalHealth #MedTech #AIinHealthcare @JACCJournals @AHAScience @MayoClinicCV @BostonChildrens @DrMarthaGulati @PRodriguezMD @RBP0612 @ggvela @RobertHPass
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🧵1/Today, we published a key milestone towards AI based cardiac screening in Nature. doi.org/10.1038/s41586-025-0… EchoNext outperformed cardiologists and found thousands of high-risk patients missed in routine care. We also made a version available to the world.
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🧠💓 Deep learning meets congenital heart disease. This AI-ECG model predicted future LV dysfunction months before echo. You need to see this. #AIinMedicine #Cardiology #MedEd @jmayour #CardioTwitter #CardioTech #ACHD #CHD #EchoFirst #HeartFailure2025 #HeartHealth #CardiologyFellows
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Excited to have presented our experience with multicenter AI collaboration at @cards_lab @YaleCardiology during this #HRS2025 session chaired by @JohnTriedmanMD and @zachia5. Outstanding talks by @Bravo__MD @jmayour and Dr Madhavan and a very engaging discussion to close the session. The future of #AI in cardiology is bright.
Thanks for highlighting the session. Hope this is the first of many selfies! @jmayour @ekoikonomou @MadhavanMalini #HRS2025 #SanDiego
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Honored to have this AI-ECG work published in JACC EP: authors.elsevier.com/a/1kn5K… AI-ECG outperforms GE MUSE software for pediatric ECG interpretation. During readjudication, expert pediatric EPs were more likely to agree with AI-ECG classification than the original ECG reader!
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An enlightening interview about this work by a world-class mentor and pediatric electrophysiologist. @JohnTriedmanMD interviewed by @JACCJournals #JACCCEP on AI-ECG for Automated Pediatric ECG Diagnosis #ACC25 youtube.com/watch?v=8FDbHwDN…
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AI-ECG analysis shows promise to predict mortality in rTOF. This externally validated model complements prognostic imaging biomarkers & may serve as an inexpensive risk stratification & surveillance tool in rTOF. jacc.org/doi/10.1016/j.jacep… #JACCCEP #ECG #AI #DeepLearning
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Sharing our editorial @ehj_ed on the excellent work by @jmayour et al using #AI ECG to predict 5y outcomes in congenital heart disease. We explore the potential, challenges, and future steps for AI in understudied populations and conditions. Link: academic.oup.com/eurheartj/a… @cards_lab @rohan_khera #CardioTwitter
Artificial intelligence-enhanced electrocardiogram algorithm to accurately predict 5-year mortality across a range of congenital heart disease! #artificial #intelligence #congenital #heart #disease #cardiotwitter #EHJ @ESC_journals @escardio academic.oup.com/eurheartj/a…
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Honored to have this AI-ECG CHD work published in EHJ. Thankful for our wonderful collaborative team @JohnTriedmanMD @w_la_cava @sgcard @interactiveachd @FredWuMD @AriCedars @Bravo__MD @RobertHPass
Artificial intelligence-enhanced electrocardiogram algorithm to accurately predict 5-year mortality across a range of congenital heart disease! #artificial #intelligence #congenital #heart #disease #cardiotwitter #EHJ @ESC_journals @escardio academic.oup.com/eurheartj/a…
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Off the press. New Mortality Risk Score in ToF from the INDICATOR cohort. 5 independent predictors (>4 high risk): ▪️Older age at CMR ▪️Obesity (BMI ≥30 kg/m2) ▪️ToF repair type ▪️Higher RVESVi ▪️Lower BVGFI (biventricular global function index) ahajournals.org/doi/10.1161/…
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#ICYMI: AI-pECG to Predict LV Dysfunction and Remodeling @jmayour, @JohnTriedmanMD @BCH_HeartCenter @sgcard @w_la_cava #AHAJournals
Pediatric Electrocardiogram-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling @jmayour @JohnTriedmanMD @BCH_HeartCenter @sgcard @w_la_cava ahajournals.org/doi/10.1161/…
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Dr. Joshua Mayourian presenting an #INDICATOR project aimed at developing an outcome prediction model for predicting death/sustained VT in patients with repaired tetralogy of Fallot. #ACHD #ACC23
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EDITOR PICK: Exosomal microRNA-21-5p Mediates Mesenchymal Stem Cell Paracrine Effects on Human Cardiac Tissue Contractility ow.ly/hLbI30jdNVM #Cardiology #ScienceTwitter #microRNAs #exosomes #StemCells #tissueengineering #HeartDisease #cardiotherapies
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