Understanding unwarranted variations in emergency care
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
Ethnoracial disparities in emergency department triage are more pronounced in lower-risk visits: a multicenter study
Nature Communications
Deep Time-to-Event Models for Intrapartum Fetal Monitoring
Proceedings of Machine Learning Research (PMLR) · Machine Learning for Health (ML4H)
Modelling Systemic Effects of Detecting and Reclassifying Under-Triaged Patients in a Pediatric Emergency Department
Proceedings of Machine Learning Research (PMLR) · Machine Learning for Health (ML4H)
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| In Press
Recent Posts
Taking a closer look at survival modeling with ECGs
Relaxing the definition of equivalent mathematical expressions to get simpler and more interpretable models