Flywheel io: Medical Imaging Data Management
Flywheel io helps pharmaceutical, biotech, and clinical organizations manage imaging data. It is designed for teams that need to maintain regulatory compliance while developing AI models.
At a glance
- Category
- Browse Healthcare tools
- Best for
- Pharmaceutical R&D teams, Biotech companies, Clinical research organizations, Medical device developers, Academic medical centers
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- AI Model Training, Multicenter Clinical Studies, Neuroimaging Research, Oncology Data Management
- Integrations
- CVAT integration
- Official website
- Visit flywheel io official website
Flywheel io is a medical imaging data management and analysis platform. It is designed to centralize imaging data, support curation processes, and assist with machine learning workflows for research and clinical trials.
The platform is intended for pharmaceutical researchers, biotech companies, medical device developers, and clinical researchers. It supports various modalities, including MRI, CT, PET, EEG, and digital pathology, and integrates with CVAT for video annotation.
Buyers can use the platform to manage multi-center collaborations and prepare datasets for AI training. It is built to support compliance with standards such as HIPAA, GDPR, GCP, and 21 CFR Part 11.
Because the platform serves specialized research and clinical needs, buyers should confirm how the Gears plug-in system fits their specific analysis requirements and verify the technical support available for their imaging modalities.
Key Features
Data Aggregation and Curation
Centralizes imaging data from multiple sources and provides tools to organize and standardize datasets.
Flywheel Gears
A collection of over 50 standardized plug-in applications designed to automate routine imaging research tasks.
Compliance Framework
Supports HIPAA, GDPR, GCP, and 21 CFR Part 11 requirements with audit trails and role-based access controls.
AI and ML Workflow Support
Provides tools for model training, algorithm exchange, and the creation of AI-ready datasets.
BIDS Conversion
Supports the Brain Imaging Data Structure (BIDS) standard for importing and curating neuroimaging data.
Multimodal Support
Compatible with MRI, CT, PET, EEG, digital pathology, and video data.
Use Cases
AI Model Training
Preparing and curating large-scale imaging datasets to support machine learning and AI development.
Multicenter Clinical Studies
Aggregating and sharing imaging data across different institutions and research sites.
Neuroimaging Research
Using BIDS conversion and neuro-specific Gears to manage brain imaging data.
Oncology Data Management
Managing tumor segmentation and reader study workflows for cancer research.
Best For
- Pharmaceutical R&D teams
- Biotech companies
- Clinical research organizations
- Medical device developers
- Academic medical centers
Integrations
- CVAT integration
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Who is Flywheel io designed for?
- It is designed for pharmaceutical and biotech researchers, clinical researchers, medical device developers, and AI developers in the healthcare space.
What compliance standards does Flywheel io support?
- The platform supports HIPAA, GDPR, GCP, and 21 CFR Part 11, including audit trails and digital signatures.
What imaging modalities are compatible with the platform?
- Flywheel supports MRI, CT, PET, EEG, digital pathology, and medical video data.
How does the platform support AI development?
- It helps users create AI-ready datasets through automated labeling, classification, and integration with machine learning workflows.
Source category: Healthcare
Source subcategory: Data Management
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Categories
Software Type
How AI is used
Flywheel io is a medical imaging data management platform for healthcare and life sciences organizations. It supports imaging data aggregation, curation, and AI development workflows while maintaining regulatory compliance. Potential buyers should request a demo to determine pricing and technical fit.
Pros & Cons
Pros
- Support for international regulatory compliance (HIPAA, GDPR)
- Extensible architecture through the Gears plug-in system
- Capacity to manage datasets at terabyte and petabyte levels
- Supports a wide range of imaging modalities including video
Cons
- Pricing is not publicly disclosed, requiring a demo for quotes
- Reliance on specific plug-ins (Gears) for certain automation tasks
