APPARATUS AND METHODS FOR MACHINE LEARNING TO IDENTIFY AND DIAGNOSE INTRACRANIAL HEMORRHAGES

    公开(公告)号:US20230132247A1

    公开(公告)日:2023-04-27

    申请号:US17508993

    申请日:2021-10-23

    Abstract: In some embodiments, an apparatus includes providing a representation of a set of digital medical images to a first machine learning model to define a feature vector associated with a presence of an intracranial hemorrhage. A representation of the set of digital medical images is provided to a second machine learning model to define a second feature vector associated with a volume of the intracranial hemorrhage. Using a third machine learning model, a set of EMRs associated with risk factors for a predefined indication is analyzed to define a third feature vector. The first, second and third feature vectors are provided as inputs to a fourth machine learning model to determine a metric associated with an applicability of a specific treatment associated with a predefined indication. An alert is sent to relevant healthcare providers and relevant tests, procedures or bloodwork are ordered for the predefined indication.

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