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    PATIENT AND CONSUMER DATA DE-IDENTIFICATION
    1.
    发明公开
    PATIENT AND CONSUMER DATA DE-IDENTIFICATION 审中-公开

    公开(公告)号：US20230352150A1

    公开(公告)日：2023-11-02

    申请号：US18140196

    申请日：2023-04-27

    Applicant: Align Technology, Inc.

    Inventor： Eric P. Meyer ,  Christopher E. Cramer ,  Doruk Cetin ,  Niko Benjamin Huber ,  Chad Clayton Brown

    IPC: G16H30/40 ,  G16H10/60

    CPC classification number: G16H30/40 ,  G16H10/60

    Abstract: The present technology provides solutions for anonymizing patient data and in particular, for anonymizing potentially unique patient-identifying information while retaining clinically relevant information, for example, that can be used to illustrate the results or outcomes of a clinical intervention. In some aspects, a process of the disclosed technology can include steps for receiving patient data, wherein the patient data comprises a patient image corresponding with a patient, receiving treatment data, wherein the treatment data is based on a treatment goal for the patient, automatically determining, using one or more semantic controls, one or more anonymization parameters for the patient image; and generating, based on the one or more anonymization parameters, an anonymized patient image. Systems and machine-readable media are also provided.

    PERSONALIZED IMAGE MODIFICATION FOR CLINICAL SETTINGS
    2.
    发明申请
    PERSONALIZED IMAGE MODIFICATION FOR CLINICAL SETTINGS 有权

    公开(公告)号：US20250014722A1

    公开(公告)日：2025-01-09

    申请号：US18761665

    申请日：2024-07-02

    Applicant: Align Technology, Inc.

    Inventor： Doruk Cetin ,  Alain Souchet ,  Eric Paul Meyer ,  Nico Benjamin Huber ,  Petar Stamenkovic ,  Majed El Helou ,  Fabio Zünd

    IPC: G16H30/40 ,  G06T7/10 ,  G06T7/70 ,  G06T7/90 ,  G06T11/60 ,  G06V40/16 ,  G16H30/20

    Abstract: A method comprises receiving a first image comprising first clinical information and first non-clinical information of a first patient and receiving a second image comprising second clinical information and second non-clinical information of the first patient or a second patient. The method further comprises generating a third image of the first patient based on the first image and the second image, wherein one of a) the third image is generated based on the first clinical information and the second non-clinical information such that the third image resembles a combination of the first clinical information and the second non-clinical information or b) the third image is generated based on the second clinical information and the first non-clinical information such that the third image resembles a combination of the second clinical information and the first non-clinical information.

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