Point-of-Care Ultrasound Analysis and Training

Overview

In collaboration with Dapasoft Inc. and Mount Sinai Hospital’s Neonatal Intensive Care Unit (Canada’s largest NICU), this project develops interpretable machine learning algorithms for computer-aided diagnosis of neonatal lung and heart diseases. Point-of-care ultrasound (POCUS) is the primary imaging modality for cardiac and pulmonary disease diagnosis in neonates, and this project also creates AI-guided training tools to help ultrasound technologists build proficiency faster and more reliably.

Collaborators

• Dapasoft Inc.
• Mount Sinai Hospital — Neonatal Intensive Care Unit

Funding

• NSERC Collaborative Research and Development Grant (CRD)