NVIDIA DGX BasePOD

1 use case using this technology · by NVIDIA

1published use cases

1industry

0countries on record

Computer Vision

top AI capability

Evidence mix: High 1 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

HealthcareMachine LearningComputer Vision

Accelerating the Radiological Workflow With AI at University of Wisconsin–Madison

The UW-Madison Department of Radiology uses NVIDIA DGX BasePOD with the MONAI imaging framework (integrated into Flywheel's healthcare data platform) and NVIDIA FLARE for federated learning to curate imaging datasets and rapidly iterate on AI models for tasks like pediatric bone age assessment and opportunistic screening. Ten thousand abdominal CT cases that previously took six to eight months to process manually can now be processed in a day; over one million images can be processed in under a day. The tools are being deployed via containers to a 21-site global clinical trial.

University of Wisconsin–Madison Department of RadiologyNVIDIA DGX BasePOD · NVIDIA DGX A100 · NVIDIA Base Command +5