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

Automated Echocardiographic Detection of Congenital Heart Disease Using Artificial Intelligence
Platon Lukyanenko, Sunil J. Ghelani, Yuting Yang, Bohan Jiang, Timothy A. Miller, David Harrild, Nao Sasaki, Francesca Sperotto, Danielle Sganga, John K. Triedman, Andrew J. Powell, Tal Geva, William G. La Cava, Joshua Mayourian (2026)
Circulation
ahajournals.org  |  PubMed  |  pdf
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 Amplify Informatics Conference
pdf
Robust AI-ECG for Predicting Left Ventricular Systolic Dysfunction in Pediatric Congenital Heart Disease
Yuting Yang, Lorenzo Peracchio, Joshua Mayourian, Timothy Miller, William G. La Cava (2026)
AMIA Amplify Informatics Conference
arXiv  |  pdf

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