The Cava laboratory is a research group interested in improving the trustworthiness of artificial intelligence (AI) models deployed in healthcare settings. We study 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 Ghelani, Yuting Yang, Bohan Jiang, Timothy Miller, David Harrild, Nao Sasaki, Francesca Sperotto, Danielle Sganga, John Triedman, Andrew J. Powell, Tal Geva, William G. La Cava, Joshua Mayourian (2026)
Preprint
medrxiv.org  |  pdf  |  code
Deep survival analysis from adult and pediatric electrocardiograms: a multi-center benchmark study
Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu, John K. Triedman, Sunil J. Ghelani, William G. La Cava (2025)
BioData Mining
doi.org  |  PubMed  |  pdf
The future of algorithmic nondiscrimination compliance in the affordable care act
William G. La Cava, I. Glenn Cohen, Jaya Aysola (2025)
npj Digital Medicine
nature.com  |  PubMed  |  pdf  |  code

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