Machine-learning Innovation In Raystation: Prioritizing Speed, Automation, Efficiency

RaySearch Laboratories and its clinical customers are leveraging advances in machine learning to revolutionize the radiotherapy workflow. Machine-learning technologies are being used to improve automation, workflow efficiency and consistency of treatment for individual clinics and across multicentre healthcare systems. RaySearch is partnering closely with clinical experts to ensure robust validation of machine-learning models for their flagship RayStation treatment planning system. Automated deep-learning segmentation and deep-learning-enabled automation in treatment planning are priorities on the RayStation innovation roadmap. The process of clinical validation is already underway, with the goal of improving, optimizing and generalizing the machine-learning models in RayStation.