Nvidia · NVIDIA Blog
Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care
Compiled by KHAO Editorial — aggregated from 1 source. See llms.txt for citation guidance.
★ Tier-1 Source
Children’s Hospital of Philadelphia is using open source AI tools to model children’s hearts in seconds, with the goal of enabling safer, more precise care for kids with congenital heart disease.
Key facts
- When Jolley joined CHOP in 2015, 3D echocardiography was coming online
- At Boston Children’s Hospital, modeling supports more than half of all cardiac surgeries, roughly 500 cases a year
- About 1% of all live births involve a congenital heart defect, and no two are alike
- More than 20 children’s hospitals across the U.S. now run cardiac modeling programs
Summary
About 1% of all live births involve a congenital heart defect, and no two are alike. A child born with a hole between the lower chambers of their heart, or a leaking valve in the single pumping chamber keeping them alive, needs care that fits their exact anatomy. “You’ve got a one-of-a-kind kid and an off-the-shelf device,” said Dr. Matthew Jolley, a cardiologist and researcher at Children’s Hospital of Philadelphia, or CHOP. CHOP’s cardiac modeling service, built on MONAI, an open source medical imaging framework cofounded by NVIDIA, takes the images a child’s care team already has, such as CT scans, MRI and 3D ultrasound, and produces anatomically precise heart models in seconds.