October 23, 2020 -- 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 RayStationThe 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.

Want to take part in this webinar? Fredrik Löfman, head of machine learning at RaySearch Laboratories in Stockholm, discusses machine learning and provides an introduction to RaySearch's latest innovation, RayIntelligence, an oncology analytics system. He has a MSc in engineering physics from Chalmers University of Technology, Gothenburg, Sweden, and Imperial College, London, UK, and a PhD in applied mathematics from the Royal Institute of Technology, Stockholm, Sweden. Since 2017, Fredrik has established a machine-learning department at RaySearch focusing on data-driven oncology and machine-learning applications to automate and support the process of improving future cancer treatments. The department is responsible for prototype development, research projects and product development of machine-learning applications and analytics software in 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. 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.

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. 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.

RaySearch exhibited its latest advances in oncology software at the 2018 American Society for Radiation Oncology (ASTRO) annual meeting, Oct. 21-24 in San Antonio, Texas, backed by machine learning and user-friendly tools to enable optimal use of clinical resources. The company showed its latest development in machine learning technology and automation in both its RayStation treatment planning system (TPS) and RayCare oncology information system (OIS). With its in-house machine learning department, RaySearch is currently developing machine learning and deep learning prototypes for areas such as treatment plan generation, organ segmentation and target volume estimation. RaySearch is also developing techniques for efficient large-scale data extraction and analysis. The first clinical applications of machine learning are automated treatment planning and automated organ segmentation and will be included in the next RayStation release in December.