The company said it has added deep-learning and machine-learning applications for automated treatment planning and automated organ segmentation as part of version 8B of RayStation. In a retrospective study that will be presented at the meeting, researchers from RaySearch and University Medical Center Groningen in the Netherlands found that the machine learning-based planning approach can generate dual-arc volumetric modulated arc therapy plans with adequate target coverage in 97% of cases, according to the firm.
In addition, the company will present results from its collaboration with Iridium Cancer Network in Antwerp, Belgium. The clinic has trained a deep-learning model for male pelvic segmentation, RaySearch said.
The firm will also present other new RayStation features, including photon Monte Carlo dose calculation, a new model for assessing treatment plans, and support for boron neutron capture therapy planning.
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