Articles

Why You Need a Validated Imaging Data Management Solution

In this white paper, we explore how organizations can follow 21 CFR Part 11 in clinical trials involving imaging data for submitting novel drug-based therapies and creating approvable, usable AI.

Unlocking Value in Your Medical Imaging Data for Accelerated AI Development

In this white paper, we explore the challenges medical enterprises face in managing medical imaging data and presents strategies for harnessing the transformative power of AI to accelerate medicine.

Executive Brief: The Business Case for Investing in a Medical Imaging AI Platform

Double the number of projects this year without adding to your IT department’s workload—all in service of accelerating AI development, realizing operational efficiencies, & improving patient outcomes.

Bill & Melinda Gates Foundation’s UNITY Project Democratizes Brain Imaging Research Around the Globe

King’s College London and the Bill and Melinda Gates Foundation UNITY Project use Flywheel as a medical image sharing hub for international research into health outcomes and child brain development.

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.

How to Remove Barriers, Accelerate Timelines and Improve Outcomes Using Medical Imaging in R&D

Medical imaging holds great potential in life sciences R&D, but it can be time-consuming to leverage. The right data management and computation tools can accelerate breakthroughs and improve outcomes.

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.

Harnessing the untapped potential of legacy data in pharma R&D

This article from Drug Discovery & Development explains how pharma research teams can unite legacy data, including imaging data, to better characterize disease mechanisms and therapeutic responses.

Reimagining the Future of Biomedical Research

Federated Learning: A Different Type of House Call

Flywheel's medical director, Aaron Mintz, spoke with Radiology Today about how federated learning holds promise to accelerate breast imaging AI research and improve patient outcomes.