Radiotherapy Plans Based on Machine Learning Being Used to Treat Localized PC Patients

Radiotherapy Plans Based on Machine Learning Being Used to Treat Localized PC Patients
Radiotherapy plans generated with machine learning in the RayStation system are now being used at the Princess Margaret Cancer Centre, in Canada, to treat men with localized prostate cancer. RayStation is a treatment planning system (TPS) to optimize care for cancer patients. It combines features such as adaptive therapy, multi-criteria optimization, and algorithms to improve intensity-modulated radiation therapy (IMRT) — a type of radiotherapy — and volumetric modulated arc therapy (a newer type of IMRT), with accurate dose engines for photon, electron, proton and carbon ion therapy. The technology supports various treatment machines, working as an integrated control center and maximizing value from existing equipment. It also integrates with RayCare, an oncology information system designed to coordinate radiation therapy, chemotherapy, and surgery. According to RaySearch Laboratories, RayStation represents the first use of such a TPS in the radiation oncology field. It generates high
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