Case Studies

Revolutionizing Medical Research: Flywheel as the Imaging Solution with CAVATICA in a Multimodal Data Ecosystem

Flywheel is the medical imaging data platform for a multi-institutional partnership sponsored by the National Institutes of Health, the INCLUDE project, to generate insight into pediatric disease.

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.

Automating Workflows in Stanford’s Brain Stimulation Lab

Read how Dr. Azeezat Azeez and her collaborators are using Flywheel to automate research workflows for Stanford Neuromodulation Therapy.

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.

Streamlining Data Management for Multi-Site Traumatic Brain Injury Research

Read how 19 institutions are collaborating on Flywheel on the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study.

Radiologist Uses Flywheel to Accelerate COVID19 Reader Study