The Clinical AI Value Alignment lab studies artificial intelligence (AI) used in healthcare settings. We focus on algorithmic notions of interpretability, fairness, accuracy, and robustness in medical applications of AI.

The lab is part of the Computational Health Informatics Program at Boston Children’s Hospital, affiliated with Harvard Medical School.

Recent Papers

Estimation of Left Ventricular Systolic Function in Pediatric and Congenital Heart Disease from Serial Electrocardiograms
Platon Lukyanenko, Sunil J. Ghelani, John K. Triedman, Joshua Mayourian, William G. La Cava (2026)
AMIA Summits on Translational Science Proceedings
pmc.ncbi.nlm.nih.gov  |  PubMed  |  pdf
Robust AI-ECG for Predicting Left Ventricular Systolic Dysfunction in Pediatric Congenital Heart Disease
Yuting Yang, Lorenzo Peracchio, Joshua Mayourian, John K. Triedman, Timothy Miller, William G. La Cava (2026)
AMIA Summits on Translational Science Proceedings
pmc.ncbi.nlm.nih.gov  |  PubMed  |  pdf
An ECG foundation model for generalizable cardiac function prediction across the lifespan
Yuting Yang, Lorenzo Peracchio, Joshua Mayourian, Timothy Miller, William G. La Cava (2026)
medRxiv
pmc.ncbi.nlm.nih.gov  |  pdf

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