Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care
Children's Hospital of Philadelphia uses NVIDIA open-source MONAI, Warp and Newton to build pediatric heart models in seconds for surgical planning.
CHOP's cardiac modeling service uses MONAI, Auto3DSeg and SlicerHeart to turn CT, MRI and 3D ultrasound images into anatomically precise heart models in seconds instead of four hours of manual work. More than 20 US children's hospitals run similar programs, with Boston Children's supporting roughly 500 cardiac surgery cases a year. NVIDIA's Newton physics engine, built on the Warp Python framework, aims to reduce device simulations from hours to near real time in clinical workflows.
- MONAI modeling cuts four-hour manual workflows to seconds
- More than 20 US children's hospitals run cardiac modeling programs
- Boston Children's supports about 500 modeled surgery cases yearly
- Newton physics engine targets near-real-time cardiac device simulation
From the original article
5 min read at blogs.nvidia.com
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. About 1% of all live births involve a congenital heart defect — and no two are alike.
By Isha Salian · blogs.nvidia.com
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