- Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models
- Deciphering the influence of demographic factors on the treatment of pediatric patients in the emergency department
- Robust AI-ECG for Predicting Left Ventricular Systolic Dysfunction in Pediatric Congenital Heart Disease
Research Experience
The Cava laboratory is part of the Computational Health Informatics Program at Boston Children’s Hospital, affiliated with Harvard Medical School.
Background
Research Interests: Improving the trustworthiness of artificial intelligence (AI) models deployed in healthcare settings. Areas of focus include algorithmic notions of interpretability, fairness, accuracy, and robustness in medical applications.