Organize data and develop models in trusted tools

Flywheel for AI Development

Better Together Flywheel + NVIDIA

Algorithm Bake-Off: Comparing AI Algorithms for CT Segmentation with Flywheel Data Exchange and Jupyter Notebooks

We use one platform to conduct a comparison of two deep learning liver and kidney segmentation models, revealing the importance of complete DICOM header curation to reduce segmentation errors.

Advancing Imaging AI Development With NVIDIA and Flywheel

Radiologists cut 8 months of processing time leveraging Flywheel and NVIDIA. See how they access millions of images, annotate data efficiently, and train and deploy medical imaging AI models.

Tackling the Challenges of Imaging-Based AI in Pharma R&D

See how Flywheel’s platform enables AI in pharma R&D for smarter use of large volumes of imaging & delves into the unique challenges in handling and curating data for model creation.

Health System Informatics Leader Uses Flywheel to Create AI-Ready Data Sets

Dr. Peter McCaffrey at UTMB is leveraging Flywheel to enable research collaborations and make AI-ready data sets. Read the details of his unique approach.