RaySearch will present further advances in machine learning and support for brachytherapy at ASTRO 2020

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RaySearch will present further advances in machine learning and support for brachytherapy at ASTRO 2020

Press releases may be edited for formatting or style | October 23, 2020 Artificial Intelligence Health IT Rad Oncology
RaySearch Laboratories AB (publ) will demo its latest advances in oncology software at the American Society for Radiation Oncology (ASTRO) 2020 Annual Meeting. Visitors will be offered the opportunity to book personal online demos of treatment planning system RayStation®* and oncology information system RayCare®*.

RaySearch will present recent and upcoming enhancements, as well as new functionality, in RayStation and RayCare. Among the highlights in RayStation are support for brachytherapy planning and robust proton planning using machine learning. In RayCare, additional automation capabilities will be on show – such as support for scripting and enhanced workflow management tools.

Brachytherapy planning in RayStation

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The upcoming release of RayStation 10B is expected in December 2020* and will add support for brachytherapy planning. This is in line with the company’s aim to support as many treatment delivery systems as possible. RayStation will feature automatic channel reconstruction in combination with powerful dwell time optimization to make the creation of high-quality brachy plans faster and more consistent.

Machine learning planning in RayStation
Machine learning capabilities were added to RayStation 8B and are being continuously improved. Their applications in RayStation increase efficiency and improve consistency, while facilitating model sharing between cancer clinics. ASTRO 2020 will see demos of machine-learning planning for photons and robust proton planning – as well as deep-learning organ segmentation.

Johan Löf, founder and CEO, RaySearch, says: “Machine learning is without doubt one of the most exciting developments within medical software right now. Harnessing the massive potential of machine learning will transform the industry and improve access to and the quality of cancer treatment.”

RayCare further promotes efficiency and safety
Released in June 2020, RayCare 4A further promotes efficiency and safety by reducing routine manual tasks and handovers. Its unique workflow management capabilities are enhanced by the introduction of task management for clinical teams. Further functionalities in RayCare 4A include support for scripting as well as automated support for running RayStation scripts from tasks with forks – as well as several new patient chart features. RayCare 4B is expected in December 2020*.

Virtual demonstrations
Visitors to ASTRO 2020 will be offered the opportunity to book personal online demos of treatment planning system RayStation and oncology information system RayCare.

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