ClarityIQ technology
ClarityIQ masthead image

Clinically proven

Azurion with ClarityIQ technology

    What is ClarityIQ technology?

     

    Our imaging technology ClarityIQ, combines advanced, real-time image noise reduction algorithms with state-of-the-art hardware. Together, they form a flexible digital imaging pipeline designed to perform individual image processing algorithms more efficiently. This unlocks superb visualization and significant dose reduction capabilities for healthcare facilities. ClarityIQ is available as an option on Azurion systems.

    Key benefits of ClarityIQ technology

    • Significantly lower patient dose at equivalent image quality 
    • Proven reduction in staff radiation exposure
    • Fast – no noticeable delay between acquisition and display

    Philips image-guided therapy system scores high in multi-vendor study.a This study identifies differences between image-guided therapy systems from different vendors. It may pave a path for standardization in radiation dose usage and acceptable image quality for similar procedures.

    Clinically proven outcomes across interventional areas

     

    ClarityIQ is clinically proven to deliver significantly lower dose – based on 37 multiple peer-reviewed clinical studies with over
    19.000 patients1-38,b-d

    Select an area of interest and discover more about ClarityIQ study findings in this area.

    Doctors checking data

    The next leap in lab integration

     

    When Azurion was introduced, we marked a pivotal moment in image-guided therapy. Its highly intuitive usability and unique innovations help clinicians to optimize interventional lab performance and provide superior care. Reaching the landmark two millionth procedure in just over 3.5 years*, this image-guided therapy platform keeps advancing. Azurion’s next leap in lab integration and 3D imaging gives you control over an array of compatible applications from a single touch screen interface at table side.

    *More than two million procedures have been performed on Philips Azurion based on Philips internal case and procedure data. The two millionth case was performed in August 2020 and was estimated based on the same data.

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