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

Single lead electrocardiographic detection of left ventricular systolic dysfunction in pediatric and congenital heart disease
Joshua Mayourian, Ivor B. Asztalos, William La Cava, Ryan L. Kobayashi, Sunil J. Ghelani, Victoria L. Vetter, Rachel M. Wald, Anne Marie Valente, Tal Geva, John K. Triedman (2026)
npj Digital Medicine
Design principles for integrated AI alignment
Ben Y. Reis and William G. La Cava (2026)
Patterns
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

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