Enterprise-Scale Imaging Platform

Unlock the value of your imaging data

Flywheel helps enterprises level up in their imaging research and AI strategy

MRI image of knee joint leg closeup

Leverage data at the petabyte level

Flywheel’s enterprise imaging platform can help your institution unlock the petabytes of data and unstructured reports in your clinical archives to accelerate data science and AI development.

UTMB: Flywheel Serves Annotation and Analysis Needs for  Radiology

The University of Texas Medical Branch has implemented Flywheel to facilitate a “living repository” of enterprise medical imaging within the UT system, fueling collaborations with computer scientists and commercial AI organizations.

“Now, if it’s imaging research, we’re doing it in Flywheel. It’s clear to me that it’s a broad service, a robust service, one that meets radiology needs, and one that also handles interoperability questions. So I’m embracing it and centralizing it more, and turning off things that conflict with it.”

Peter McCaffrey, MD; Director of Pathology Informatics; Director of Bioinformatics and Artificial Intelligence; Director of Laboratory Information Services; Assistant Professor of Pathology
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We work with the best in the field

  • Massachusetts General Hospital
  • MD Anderson Cancer Center
  • Memorial Sloane Kettering Cancer Center
  • Children’s National
  • Bill & Melinda Gates Foundation
  • St. Jude’s Children’s Research Hospital
  • Children’s Hospital of Philadelphia
  • Stanford University
  • Columbia University
  • University of Pennsylvania
  • University of Wisconsin-Madison
  • UCSF
  • University of Texas Medical Branch
  • Banner – University Medical Center Phoenix

Accelerating Imaging Research and AI Creation on the Enterprise Level

  • Powerful search, analytics, and cohort discovery solutions leveraging available DICOM metadata and free text reports
  • Automated labeling, conversion, pre-processing, and pipelines
  • Elastic compute scaling
  • Compliant, configurable de-identification tools, with data de-identified on the edge
  • Efficient infrastructure to commercialize datasets and streamline grant submissions

See How Flywheel Powers Enterprise Medical Imaging Research

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