During the first part of the webinar, Fredrik Löfman, head of machine learning at RaySearch, will discuss how RaySearch is pioneering machine learning for smarter and faster oncology software. He will talk about the upcoming machine-learning applications in RayStation that will be released in December*: automatic treatment planning and automatic organ segmentation. Furthermore, Löfman will discuss some of the other machine-learning projects that RaySearch is working on, such as target-volume delineation, analytics on oncology data and RayCare as a learning system.
In the second part, Tom Purdie, medical physicist at Princess Margaret Cancer Centre, will talk about automatic treatment planning and machine learning from a clinical perspective. He will present results from a clinical comparison between retrospective plans and ML automated plans.
* Subject to regulatory clearance in some markets.