REPORT GENERATION FOR RADIOLOGY
    3.
    发明公开

    公开(公告)号:US20240290449A1

    公开(公告)日:2024-08-29

    申请号:US18114136

    申请日:2023-02-24

    申请人: IX Innovation LLC

    IPC分类号: G16H15/00 G16H30/20 G16H30/40

    摘要: Described herein are techniques for generating a radiological report. In some cases, some or all of the radiological report may be generated during a medical imaging to which the report relates, such that the report is generated contemporaneously with or in real time during the imaging. In some embodiments described herein, some or all of the radiological report may be generated automatically, without intervention from an imaging technician or from a radiologist. Such an automatic generation of radiological report content may be performed in some embodiments through comparison of information regarding a medical imaging of a patient to information regarding one or more prior medical imaging's of the patient or other patients. In response to detecting a match between information regarding a medical imaging of a patient and information regarding a prior medical imaging, information relating to the prior medical imaging may be used to generate the radiological report.

    Systems and methods for tracking movement of a wearable device for advanced image stabilization

    公开(公告)号:US11894126B1

    公开(公告)日:2024-02-06

    申请号:US18114110

    申请日:2023-02-24

    申请人: IX Innovation LLC

    IPC分类号: G16H30/40 G06F16/538

    CPC分类号: G16H30/40 G06F16/538

    摘要: Disclosed are systems and methods that provide a framework for performing advanced image stabilization. The disclosed framework can operate to capture imagery used and/or relied upon for the preoperative (pre-op), operative and/or postoperative (post-op) stages of a medical procedure. The framework can function by collecting and monitoring sensor data related to a device of a user (e.g., a patient). The sensor data can be analyzed, whereby the framework can determine the most opportune time to capture an image(s)—for example, a computed tomography (CT) scan or magnetic resonance imaging (MRI) scan, and the like. Accordingly, the framework can leverage the determined capture opportunity to perform the image capture and storage of the image data and metadata, as well as perform a confidence score computation that enables validation or verification of the image's authenticity and quality.