RaySearch Demonstrates New Machine Learning Applications at ASTRO Artificial intelligence Latest Technology News Prosyscom.tech

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.