During October 21- 23, RaySearch will exhibit its latest advances in oncology software at the ASTRO 2018 annual meeting in San Antonio, Texas, US. RaySearch is putting a strong focus on making smarter and faster software through machine learning and user-friendly tools to enable optimal use of the clinical resources. RaySearch will show its latest development in machine learning technology and automation in both RayStation*, the innovative treatment planning system (TPS) and RayCare*, the groundbreaking oncology information system (OIS). Attendees are welcome to visit RaySearch at booth #1833, and demonstrations can be booked now at www.raysearchlabs.com/astro-2018/.
Machine learning and automation in RayStation
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. These applications will revolutionize the way radiation oncology treatment planning is done and offer an enormous efficiency boost for cancer clinics. Attendees can get a demonstration of these features at the RaySearch booth.

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RayCare in clinical use
The RayCare next-generation OIS is now directly connected to the treatment delivery system at the Provision Cares Proton Therapy facility in Nashville, US. RayCare is used to manage the treatment sessions. The Nashville center treated their first patient on October 8 and utilizes the RayCare OIS together with the RayStation TPS to plan and manage its proton treatments.
RayCare 2B was released early October and will be displayed at the show. This version introduces new features and usability improvements throughout the system, including a feature to support a full treatment delivery and management workflow and task-based offline image review. Other care administration features include support for financial information, such as insurance information and authorization management, and support for managing external contacts, referring clinicians and other external entities.
Joint demonstrations
Online adaptive proton therapy workflow with IBA