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

Towards symbolic regression for interpretable clinical decision scores
Guilherme Seidyo Imai Aldeia, Joseph D. Romano, Fabricio Olivetti de França, Daniel S. Herman, William G. La Cava (2026)
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
royalsocietypublishing.org  |  pdf  |  code
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 Powell, Tal Geva, William G. La Cava, Joshua Mayourian (2026)
Circulation
ahajournals.org  |  medRxiv  |  pdf  |  code
The Benefit of the Doubt Phenomenon in Emergency Triage Assignment Disparities
Blanca Romero Mila, Helena Coggan, Andrew M. Fine, Yuval Barak-Corren, Ben Y. Reis, Jaya Aysola, Pradip Chaudhari, William G. La Cava (2026)
Preprint
medrxiv.org  |  pdf  |  code

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