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RaySearch licenses artificial intelligence technology for automated treatment planning

Press releases may be edited for formatting or style | February 06, 2017 Health IT Rad Oncology Radiation Therapy
STOCKHOLM, February 2, 2017 – University Health Network (UHN) in Canada has exclusively licensed a new artificial intelligence (AI) technology for automated radiation therapy treatment planning to RaySearch, for incorporation* into the RayStation® treatment planning system. The technology was developed by the Techna Institute, which is a collaboration between UHN and the University of Toronto.

The license gives RaySearch the ability to integrate deep-learning algorithms from Princess Margaret Cancer Centre's AI automated planning technology platform into RayStation. The technology will be built into RayStation's module for automated treatment planning across multiple treatment sites, enabling rapid adoption by clinical customers.

Princess Margaret Cancer Centre has been developing AI technologies to automate radiation therapy processes over the last several years. AutoPlanning, developed by Physicist Dr. Tom Purdie and Researcher Dr. Chris McIntosh at Princess Margaret, provides a fundamentally different paradigm for generating radiation therapy treatment plans compared with both current manual and automated methods. Conventional methods have focused on learning a few treatment parameters, whereas AutoPlanning learns to model the shape and intensity of the radiation treatment as it is related to the patient's images, reducing planning times from hours to minutes, while requiring minimal upfront preparation or user interaction.
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The AutoPlanning AI technology uses customized machine learning and image processing to determine the relevant features of treatment plans and learn quantitative relationships between patients in order to create radiotherapy treatment plans. Specifically, it utilizes a database of thousands of high-quality plans to generate optimal solutions to the planning problem.

Dr. Tom Purdie of Princess Margaret Cancer Centre, says: "AutoPlanning has a machine-learning engine that automatically learns from previous plans and determines what the best plan for a new patient is supposed to look like. The license to RaySearch will make AutoPlanning available to hospitals across the globe, allowing them to create better plans more efficiently."

Johan Löf, CEO of RaySearch, says: "This technology has the potential to make a huge contribution to patient care. I am delighted to be able to bring its benefits to centers around the world as part of the RayStation platform. This development fits perfectly with our strong focus on advanced automation features in RayStation."

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