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

Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models
Guilherme Seidyo Imai Aldeia, Daniel S. Herman, William La Cava (2025)
Machine Learning for Healthcare Conference
Deciphering the influence of demographic factors on the treatment of pediatric patients in the emergency department
Helena Coggan, Anne Bischops, Pradip Chaudhari, Yuval Barak-Corren, Andrew M. Fine, Ben Y. Reis, Jaya Aysola, William G. La Cava (2025)
Preprint
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 (2025)
Preprint

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