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RaySearch to demonstrate machine learning advances at ASTRO

Press releases may be edited for formatting or style | September 12, 2019 Artificial Intelligence Rad Oncology
During 15-17 September, RaySearch will exhibit its latest advances in oncology software at the American Society for Radiation Oncology (ASTRO) 2019 annual meeting in Chicago, USA. On show will be new development in machine learning technology and automation in the RayStation*® treatment planning system and the RayCare®* oncology information system. Attendees are welcome to visit RaySearch at booth #2218, and demonstrations can be booked now at www.raysearchlabs.com/astro-2019/.

RayStation
Machine learning capabilities were added already in RayStation 8B and are being continuously improved. RaySearch has now been granted FDA 510(k) clearance for deep learning organ segmentation and for machine learning automated planning for a key model. Several planning models are being validated for future FDA 510(k) clearance. Demonstrations will be available of the machine learning applications in RayStation and the forthcoming analytics platform.

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The latest release, RayStation 9A*, added support for treatment machines with dual-layer multileaf collimator (MLC) and non-rotating jaws, which are properties of the Varian** Halcyon™** machine. This feature is in line with RaySearch’s goal of unifying treatment planning for as many treatment delivery machines and systems as possible.

Another new feature is the support for directly deliverable multi-criteria optimization for VMAT in combination with Varian** machines. This functionality was introduced for Elekta machines in RayStation 8B. There are also additional possibilities for exporting VSim plans for use in other treatment planning systems. New features for proton therapy planning include caching of spot doses to speed up the optimization process.

New! Brachytherapy planning and chemo prescription

RaySearch is currently developing support for brachytherapy planning* and chemotherapy* prescription. Demonstrations of these features will be available.

RayCare
RayCare 3A* introduced several new features to support the efficiency and workload control for users. The enhanced ‘Home’ workspace provides a comprehensive overview for each user’s activities, including new features such as task statistics to guide daily priorities and one-click addition of tasks, messages and appointments. The RayCare workflow engine now supports modular patient workflows. Modules of tasks can be added when different clinical decision points are reached, making it possible to tailor digital workflows to patient needs.

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