STAND-ALONE WEB BROWSER-BASED OR APP-BASED TREATMENT PLAN VIEWER

    公开(公告)号:US20240339213A1

    公开(公告)日:2024-10-10

    申请号:US18749694

    申请日:2024-06-21

    发明人: Markus HIRSCH

    IPC分类号: G16H40/67 G16H20/40

    CPC分类号: G16H40/67 G16H20/40

    摘要: An arrangement of orthodontic treatment planning software to create a treatment plan installed on at least one server and at least one local client is in the form of a plug-in running on a processing unit of a local computer or a mobile device. The at least one client has a user interface that visualizes a virtual representation of a three-dimensional virtual model of at least part of a dentition. The at least one server has a first data transmission interface for sending and receiving data via a data network and the local computer or mobile device has a second data transmission interface for sending and receiving data via a data network. The at least one client transmits a digital data record of a modified three-dimensional virtual model of the dentition and/or with information for a treatment plan via the second data transmission interface to the first data transmission interface.

    INTELLIGENT TREATABLE SECTORS FOR RADIATION THERAPY PLAN GENERATION

    公开(公告)号:US20240331833A1

    公开(公告)日:2024-10-03

    申请号:US18129403

    申请日:2023-03-31

    IPC分类号: G16H20/40

    CPC分类号: G16H20/40

    摘要: Disclosed herein are methods and systems for calculating radiation therapy treatment plan (RTTP) including a method that comprises monitoring, by a processor, a treatment plan optimizer computer model to identify a set of treatment plans, where the treatment plan optimizer computer model ingests a set of medical images and predicts each treatment plan comprising a respective range of angles for treatment beam entry; generating, by the processor, a training dataset comprising the monitored data; and training, by the processor, a machine learning model using the training dataset to predict a new range of angles for treatment beam entry for a new patient by ingesting new patient data of the new patient.