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
A foundation-model approach to pediatric headache classification from resting-state fMRI
Machine Learning for Healthcare Conference
A pre-train and fine-tune framework for adaptive boosting of pre-trained polygenic risk scores
Nature Communications
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