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    AI SYSTEM FOR PREDICTING READING TIME AND READING COMPLEXITY FOR REVIEWING 2D/3D BREAST IMAGES
    1.
    发明公开
    AI SYSTEM FOR PREDICTING READING TIME AND READING COMPLEXITY FOR REVIEWING 2D/3D BREAST IMAGES 审中-公开

    公开(公告)号：EP4439580A2

    公开(公告)日：2024-10-02

    申请号：EP24186721.7

    申请日：2020-09-25

    申请人： Hologic, Inc.

    发明人： KSHIRSAGAR, Ashwini ,  CHUI, Haili ,  GKANATSIOS, Nikolaos ,  DSOUZA, Adora ,  ZHANG, Xiangwei

    IPC分类号： G16H30/40

    CPC分类号： G16H40/20

    摘要： Examples of the present disclosure describe systems and methods for predicting the reading time and/or reading complexity of a breast image. In aspects, a first set of data relating to the reading time of breast images may be collected from one or more data sources, such as image acquisition workstations, image review workstations, and healthcare professional profile data. The first set of data may be used to train a predictive model to predict/estimate an expected reading time and/or an expected reading complexity for various breast images. Subsequently, a second set of data comprising at least one breast image may be provided as input to the trained predictive model. The trained predictive model may output an estimated reading time and/or reading complexity for the breast image. The output of the trained predictive model may be used to prioritize mammographic studies or optimize the utilization of available time for radiologists.