Accuray‘s patented method involves using machine learning to create target-specific models from treatment planning images, allowing for personalized treatment delivery based on patient positioning. The generative neural network reduces dimensionality for efficient processing. This innovation enhances precision and customization in medical treatments. GlobalData’s report on Accuray gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Accuray, Vaping device aerosol generators was a key innovation area identified from patents. Accuray's grant share as of February 2024 was 58%. Grant share is based on the ratio of number of grants to total number of patents.
Machine learning system for personalized medical treatment planning
A recently granted patent (Publication Number: US11922656B2) outlines a method and system for personalized treatment planning using machine learning. The method involves inputting a treatment planning image of a target subject into a machine learning system, which then generates a target-subject-specific model based on the image. This model is applied to the treatment planning image to create a transformed version corresponding to a specific position of the target subject. By comparing this transformed image to a reference image, the system can modify parameters of the model to adapt to different positions of the subject. The system utilizes generative neural networks to identify reduced dimensionality in the images and control a treatment device to deliver personalized treatment to the target subject.
The patent also describes a treatment system that implements this method, comprising a memory to store the treatment planning image and a processing device to carry out the personalized treatment planning process. The system utilizes machine learning to construct target-subject-specific models from various types of images, including 3-D or 4-D anatomical images. It can also incorporate deformable registrations between the target subject and other subjects or atlas subjects to enhance the accuracy of the models. Additionally, the system can use a generative adversarial network or an autoencoder network to produce subject-specific models, enabling personalized treatment delivery based on the individual characteristics of the target subject. The system further includes components such as a gantry for rotating the radiation source, a robotic arm for positioning the source, and a binary MLC for treatment beam modulation, enhancing the precision and effectiveness of the treatment delivery process.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
