BIR Annual Congress

Join us at the BIR Annual Congress 2020

4th - 6th November 2020


Philips is delighted to have partnered with the British Institute of Radiology for their virtual Annual Congress. We’re committed to partnering with our customers to help accelerate your progress toward an efficient, precise diagnostic enterprise focusing on 3 key areas:

 

Radiology

Seamlessly connecting data, technology, operations and clinical workflows into one simplified workflow, integrating patient management, image acquisition and interpretation.

 

Oncology

Addressing the defining moments along the patient’s journey, helping improve outcomes and achieving more efficient, precise and patient-centred cancer care.

 

Informatics

Helping to deliver connected, secure and meaningful informatics solutions across the enterprise  fostering collaboration and optimising workflows, shortening the path to precise decisions and treatments.

    Don't miss our pre-event webinar

    Please join us on October 26th, 2020 at 2pm for our pre-event Webinar: Next generation workflow accelerators in radiation oncology

     

    Hear James Williams & Douglas Etheridge from South West Wales Cancer Centre discuss how they have successfully implemented next generation solutions in their Centres to transform the care of cancer patients undergoing radiotherapy :

     

    • How the clinical implementation of intelligent workflow management solutions combined with Practice Management can improve planning quality, efficiency and reduce the time to treatment in radiotherapy;
       
    • The benefits of MR imaging in the radiotherapy patient pathway and how MR-Simulation is changing  the future of  precision radiotherapy

    Watch educational webinars

    Check out on-demand educational sessions, case studies and thought leadership talks.

    Management workflows

    Introducing the future of integrated patient management workflows

    Discover how Philips Radiation Oncology Solutions can increase accuracy, improve workflow and help you deliver better patient care.

    Pinnacle Evolution

    Personalized planning with Pinnacle Evolution

    Please join this us for an exciting webinar on how the new Pinnacle Evolution software features, including personalized planning, feasibility, and our automated planning tool support the clinical goals of improving the quality, consistency and efficiency of the therapy planning process.

    MR-RT

    MRI in radiotherapy - Ingenia MR-RT

    This webinar will discuss how the latest innovations on the Philips Ingenia MR-RT platform, including MR-only radiotherapy and Compressed SENSE, address the challenges of MRI implementation in radiation oncology and help to fully exploit the benefits of MRI for simulation and response monitoring.

    Big Bore

    Computed tomography Big Bore RT – advancing critical clinical decisions

    Learn how Philips' radiation oncology solutions strategy addresses today’s and tomorrow's challenges with the Big Bore RT. Continuing our tradition of innovations with many firsts in the radiation oncology space, recently we introduced Big Bore RT, a new solution, an important milestone in this successful journey. Big Bore RT is built on the guided principles of radiation oncology essential for excellent care.

    Radiation Oncolology

    IntelliSpace Radiation Oncology and practice management

    In this webinar, learn how IntelliSpace radiation oncology, Philips’ new intelligent patient management system, can help to accelerate time from patient referral to start of treatment by helping to manage complexity, improve efficiency and enable operational excellence.

    Explore our Customer Experience Center


    Join us for a unique opportunity to explore the many solutions available from Philips in our virtual Customer Experience Centre.

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    Final CEE consent

    **The simulated dose based on MRCAT images does not differ (Gamma analysis criterion 3%/3mm realized in 99% of voxels within the PTV or exceeding 75% of the maximum dose) in 95% of the pelvic cancer patients when compared with CT-based plan for EBRT

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