NVIDIA Publishes Demo of AI-enabled XNAT for Medical Use

Our friends at NVIDIA have just published a free online lab that showcases the power of MONAI Label, XNAT, and the XNAT OHIF Viewer. In this lab titled “Medical AI Development with MONAI”, you can start up your own containerized demo environment running Jupyter Notebooks, XNAT, Orthanc, and an NVIDIA-powered annotation server running MONAI Label.

There are two labs specifically focused on XNAT:

• Lab 4: XNAT / OHIF Viewer integration with MONAI Label

• Lab 5: Automated execution of inference models in XNAT production

The production lab demo is especially powerful. In this deployment workflow, a hospital sends DICOM to XNAT, which automatically triggers an inference call to MONAI Label. MONAI Label can generate DICOM segmentations, bounding boxes, PNGs with segmentation contours as well as a PDF report. All DICOMs are stored in XNAT and also sent back to your hospital PACS. The PDF report can also be emailed to XNAT’s project PI.

To see a video walkthrough of these labs, click here: NVIDIA On-Demand: Medical AI Development with MONAI

To sign up for free access to the lab itself, click here: Medical AI Development with MONAI: Interactive Annotation Using NVIDIA NIM Microservices

We highly recommend taking this demo for a spin, and giving feedback on your experience.

Published July 11, 2025