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  1. ClearRead CT Detect leverages the vessel-suppression series to locate, characterize, and report suspected nodules, enabling transparent, precise automatic measurements. Easily and quickly make informed decisions about regions of interest with automatic detection, segmentation and measurement of nodules.

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      Riverain ClearRead solutions significantly improve a...

  2. www.riveraintech.com › clearread-ai-solutionsTechnology - Riverain

    Riverain developed the capability to create synthetic nodules automatically and place them into relevant anatomical contexts – such as next to the pleural wall or attached to a vessel. Our ClearRead suite of software was built on thousands of simulated, diverse nodules.

  3. www.riveraintech.com › aboutAbout - Riverain

    Riverain ClearRead solutions significantly improve a clinician’s ability to accurately and efficiently detect disease in thoracic (chest) CT and XR images and more successfully address the challenges of early detection of lung disease.

    • How does riverain CT detect work?1
    • How does riverain CT detect work?2
    • How does riverain CT detect work?3
    • How does riverain CT detect work?4
  4. Jun 25, 2020 · That is exactly what happened at the University Hospital of Zurich (USZ): USZ set up a study on the clinical and workflow benefits of Riverain™ Technologies ClearRead™ CT after implementing the solution into its chest CT workflow.

  5. The ClearRead™ technologies provide an unimpaired view that enables the radiologist to focus on the actionable data in chest imaging to more precisely detect, characterize, and report findings to improve diagnostic accuracy and efficiency.

  6. Apr 16, 2020 · ClearRead CT is a transformative, concurrent-read AI product that automatically detects and measures properties of solid, part-solid, and ground-glass nodules by leveraging patented vessel suppression technology.

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  8. Sep 19, 2016 · With the use of Riverain’s ClearRead X-ray Suite and ClearRead CT, radiologists are able to optimize the use of existing equipment. This enables radiologists to better utilize their diagnostic expertise in image interpretation for identification of diseases, such as lung cancer.