Centralize All Your Imaging Data
Aggregate imaging and video data from any source, site or modality into a single, searchable repository.
Imaging data is often dispersed and varied in format and quality. Flywheel helps organizations make imaging data FAIR (Findable, Accessible, Interoperable and Reusable) for more robust research.
Aggregate imaging and video data from any source, site or modality into a single, searchable repository.
Automate data preprocessing pipelines at scale with Flywheel Gears, so your team can spend more time on discovery and analysis.
Create structured annotation workflows and enable blind reads to transform raw imaging data into an analysis-ready database.
Enable biopharma teams, CROs and academic partners to work from the same data with role-based access and federated identity controls.
Built-in de-identification and security measures support compliance with HIPAA, GDPR and IRB, with options for 21 CFR Part 11 compliance.
Full data lineage and versioning keep your research reproducible and your data ready for secondary analysis or AI development.
Spend less time on routine data processing and more time discovering insights with Flywheel Gears, containerized plug-in algorithms that automate routine data pre-processing tasks, from QC and classification to full analytic pipelines.
Researchers at UW Madison cut manual processing time significantly.
Share imaging data and pipelines across institutions without compromising security or compliance. Flywheel’s federated identity and role-based access controls make external collaboration seamless.
Gates Foundation and King’s College London united sites around the world for pediatric neuro development study.
Bring together imaging data from clinical trials, data lakes, internal systems and third parties in one central repository for secondary analysis and AI development.
A top 10 biopharma company united datasets representing 100K+ patients.
Ingest imaging and video data from PACS, RIS, raw data sources or file systems with automated capture tools for both retrospective and prospective data. Flywheel’s drag-and-drop web upload requires no software installation, and high-performance bulk loading handles large datasets with ease.
Flywheel supports multimodal data ingest, including CT, MRI, PET, X-ray, OCT, Ultrasound and more.
Standardize imaging data to uniform quality and convert to standards such as DICOM. Customize metadata, labeling and annotation guidelines. And leverage our integrated high-grade image and video viewers and built-in task manager for blind reader studies.
Automate preprocessing and analytic workflows with Flywheel Gears, containerized plug-ins that handle QC/QA, classification, de-identification and format conversion. Create custom Gears or choose from 100+ ready-to-use applications on the Gear Exchange, including 3rd party AI algorithms.
Invite external collaborators via federated identity integration with 4,000+ research institutions worldwide. Manage access with role-based permission and approval workflows.
Open REST APIs and SDKs for Python, MATLAB and R enable rapid integration with existing pipelines. Access and analyze curated datasets directly in Jupyter Notebook, RStudio or MATLAB without leaving the data environment.
Every upload, edit and gear run is automatically logged in Flywheel for reproducible research. Add optional audit trail functionality for FDA-ready submissions.
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Reach out and a Flywheel expert will guide you toward the best solution for your organization’s needs.