Flywheel for Reader Studies: Demo
Take a look at Flywheel's robust and fully customizable framework for designing and orchestrating reader studies. Our video shows an oncology reader study example.
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Check out these details about our product features to understand more about how Flywheel can streamline your work and collaborations.
Take a look at Flywheel's robust and fully customizable framework for designing and orchestrating reader studies. Our video shows an oncology reader study example.
Watch Video
Check out our on-demand webinars
View NowThere are three ways you can import imaging research data into Flywheel. Read this quick overview, and contact us for custom advice on your situation.
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Flywheel’s Smart Copy feature gives users options for sharing and reusing data and analysis while minimizing storage use.
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Read how Flywheel facilitated a federated learning project between a pharma company and a university with an AI model trained on x-ray data.
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Multi-reader studies bring unique workflow requirements to optimize data capture. Flywheel gives researchers custom configuration options.
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Flywheel accelerates ophthalmological imaging research through a suite of optical coherence tomography (OCT) annotation tools and customization options.
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Flywheel allows digital pathology researchers to convert slides to DICOM; store batches of imaged tissues; and view and annotate digital pathology images.
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3D Slicer users can leverage Flywheel for cloud-based data curation and management, then use their favorite 3D Slicer algorithms.
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Enhance your data visualization with an Autochart Tool from Flywheel for an efficient research workflow. Learn more about our Autochart Tool.
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Flywheel de-identifies biomedical research data as it is captured, outside of the platform, giving researchers rapid access only to the information they need.
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Simplify secure data collection from research partners and contract research organizations, curate to common standards, run analyses at scale, and more.
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Flywheel integrates data from EDC systems, including REDCap. Search clinical metadata in one place, greatly streamlining your data curation.
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DICOMs in Flywheel projects may be accessed with any standard DICOM viewers and tools, enabling collaboration with radiologists and integration with existing workflows.
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Flywheel's API supports diverse data types and custom workflows through the Flywheel user interface (UI).
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Flywheel’s support for federated identity management lets users connect to collaborators at different institutions and streamline deployment.
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Administrators in Flywheel can have complete control over user permissions and defining roles for projects using a simple interface.
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Flywheel's powerful Advanced Search capability allows users to construct complex queries and quickly pinpoint the data they need.
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The Data Views UI provides a fast way to create, view, and export user-defined snapshots of project data for analysis, reporting, and export.
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Flywheel supports High Performance Computing (HPC) environments running singularity and Slurm. This integration helps users save on computing costs.
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The “flywheel-connect” extension makes it possible for a 3D Slicer extension user to directly access and load data stored within any Flywheel instance they have access to.
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