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    Associating received medical imaging data to stored medical imaging data
    4.
    发明授权
    Associating received medical imaging data to stored medical imaging data 有权

    公开(公告)号：US12026193B2

    公开(公告)日：2024-07-02

    申请号：US17536998

    申请日：2021-11-29

    申请人： WITS(MD), LLC

    发明人： Richard James Bruce ,  Gary John Wendt

    IPC分类号： G06F16/58 ,  G16H30/20 ,  G16H40/67

    CPC分类号： G06F16/58 ,  G16H30/20 ,  G16H40/67

    摘要： Computer-implemented methods, computer-readable storage media, and computer systems for associating received medical imaging data with stored medical imaging data. Medical imaging data associated with a patient is received from a client device. The medical imaging data includes an image object, one or more data objects related to the image object, and metadata associated with the patient encoded in Digital Imaging and Communication in Medicine (DICOM) format. The metadata includes personal information about the patient, and time and location at which the DICOM image file was captured. The received metadata is compared with existing metadata associated with multiple existing patients to identify a subset of the existing patients who may be a potential match to the patient. Selection of an existing patient from among the subset is requested. When received, the medical imaging data is associated with the existing patient.

    Immersive content items
    5.
    发明授权
    Immersive content items 有权

    公开(公告)号：US12020286B1

    公开(公告)日：2024-06-25

    申请号：US17114001

    申请日：2020-12-07

    申请人： Google LLC

    发明人： Ayush Agarwal ,  Sheng Chen ,  Jason W. Blythe ,  Sundeep Jain ,  Awaneesh Verma ,  Yunkai Zhou

    IPC分类号： G06Q30/02 ,  G06F16/58 ,  G06F16/951 ,  G06Q30/0251

    CPC分类号： G06Q30/0256 ,  G06F16/58 ,  G06F16/951

    摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content items. In one aspect, a method includes presenting an immersive content item at a client device. The immersive content item includes a first presentation interface that includes a scrollable image portion that presents an image having a first interaction point and a preview graphic indicating the availability of other images for presentation. The immersive content item also includes a second presentation interface that is initiated upon interaction with the first interaction point. The second presentation interface includes a scrollable image portion that presents an image from a plurality of images and an image sequencing indicator.

    VEHICLE IMAGING AND INSPECTION SYSTEM
    10.
    发明公开
    VEHICLE IMAGING AND INSPECTION SYSTEM 审中-公开

    公开(公告)号：US20240104640A1

    公开(公告)日：2024-03-28

    申请号：US18533995

    申请日：2023-12-08

    申请人： BWI Acquisition, LLC

    发明人： Jason Hauk

    IPC分类号： G06Q30/0601 ,  G06F16/58 ,  G06Q30/0251 ,  H04N1/32 ,  H04N5/222 ,  H04N23/90

    CPC分类号： G06Q30/0643 ,  G06F16/58 ,  G06Q30/0265 ,  G06Q30/0623 ,  H04N1/32133 ,  H04N5/222 ,  H04N23/90 ,  G03B15/06

    摘要： A front-end image acquisition component acquires photographs and/or videos of the exterior of a vehicle traveling on a path between a first predefined location and a second predefined location. In one aspect, an image acquisition system comprises a first camera support structure, a second camera support structure, an image processor, and a memory. Cameras are affixed to each of the camera support structures for acquiring image data of a subject vehicle. Image data is controlled by the image processor and the memory. In another aspect, an image acquisition system comprises a first camera tower, a second camera tower, a camera boom. Cameras are affixed to each of the camera towers. In another aspect, a method of identifying features of the exterior of a vehicle includes acquiring a series of images from a front-end component, accessing previously acquired images and associated metadata stored in a database, executing machine learning algorithms using the previously acquired information to identify at least one exterior vehicle feature, and executing machine learning algorithms using the presently acquired series of images to identify at least one exterior feature of the vehicle.