Flywheel

Flywheel is a comprehensive medical imaging data management and analysis platform designed to enhance the efficiency and innovation within healthcare and research. By streamlining the management of imaging data and automating research workflows, Flywheel enables the development of artificial intelligence and scales according to organizational needs.

Primarily used by clinical researchers and medical device developers, Flywheel serves as more than just a repository. It is a scalable system that facilitates the secure access, processing, analysis, and collaborative use of data for both research and AI development purposes. For medical device companies, it helps accelerate R&D goals and regulatory submissions by allowing the integration of data from various sources.

Flywheel stands out by reducing the time data scientists spend on data curation and organization. With tools designed to securely manage, curate, and compute vast datasets, Flywheel supports both internal teams and external collaborators globally.

Key Features

• Cohort Discovery: Identify and analyze specific groupings within data sets.
• Dataset Curation: Organize and refine datasets for optimal usability.
• Project Validation: Ensure research projects meet necessary criteria and standards.
• Complex Analysis: Perform detailed and multifaceted data assessments.
• Algorithm Exchange: Share and utilize algorithms within the platform.
• Model Training: Develop AI models using curated data efficiently.

Flywheel is supported by experts with real-world research experience, offering consultation and training to optimize research processes. This platform ensures that users don't navigate the complexities of data management alone.