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Machine learning

Treatment planning technology is evolving to meet the needs of our growing world population. We’ve developed machine learning tools capable of transforming valuable real-time information into predictive and consistent organ segmentation, plan generation and optimization. Almost 10 million people die from cancer annually and treatment planning with machine learning* is our latest contribution to the fight.

*Subject to regulatory clearance in some markets.

Key features

  • Generate contours of organs in less than 45 seconds with deep neural network models
  • Generate personalized treatment plans in minutes 
  • Benefit from trained models from leading cancer clinics
  • Train your own models
  • Share models with other clinics

WHITE PAPER: MACHINE LEARNING AUTOMATED TREATMENT PLANNING

Your data is handled with discretion, read our privacy statement

WHITE PAPER: MACHINE LEARNING DEEP-LEARNING

Your data is handled with discretion, read our privacy statement

“We know that the RayStation algorithm generates high quality treatment plans that are deemed clinically acceptable by world experts with the majority of cases we have formally studied, showing automated plans are preferred or deemed equivalent
to clinical plans.”

Tom Purdie
Medical Physicist, Princess Margaret Cancer Centre, Canada

INTERVIEW WITH FREDRIK LÖFMAN AT ASTRO 2019

Physics World met up with us and Fredrik Löfman, who is heading up our Machine learning department. Here is what he had to say.