AD HOC MODEL BUILDING AND MACHINE LEARNING SERVICES FOR RADIOLOGY QUALITY DASHBOARD

    公开(公告)号:US20230230678A1

    公开(公告)日:2023-07-20

    申请号:US17928945

    申请日:2021-06-04

    CPC classification number: G16H30/40 G16H15/00

    Abstract: A method (100) of generating and using one or more radiology analysis tools comprising: providing a labeling user interface (28, 40) on the workstation via which a user creates a labeled dataset by defining label types; receiving a user selection of desired output as at least one of the defined label types; identifying a proposed machine learning (ML) model based on the defined label types and the desired output; providing one or more GUI dialogs (40) presenting the proposed ML model and allowing the user to generate a user-designed proposed ML model (38) from the proposed ML model; training the user-designed ML model using training data comprising at least a portion of the labeled dataset, thereby generating a trained ML model (44); and deploying the trained ML model for an analysis process applied to at least a portion of radiology images and/or radiology reports in.

    APPARATUS FOR PROVIDING MAMMOGRAPHY QUALITY ANALYTICS

    公开(公告)号:US20190313992A1

    公开(公告)日:2019-10-17

    申请号:US16468741

    申请日:2017-12-15

    Abstract: The present invention relates to an apparatus for providing mammography quality analytics. It is described to provide (210) at least one mammogram. A plurality of mammogram acquisition parameters is provided (220), wherein at least one mammogram acquisition parameter is associated with a corresponding mammogram. The at least one mammogram is analysed (230) and a plurality of breast positioning quality parameters is generated, wherein at least one breast positioning quality parameter is associated with a corresponding mammogram. The plurality of mammogram acquisition parameters and the plurality of breast positioning quality parameters is analysed (240) and quality control information is generated (240).

    SIMULATING BREAST DEFORMATION
    4.
    发明申请

    公开(公告)号:US20180221092A1

    公开(公告)日:2018-08-09

    申请号:US15749272

    申请日:2016-08-16

    CPC classification number: A61B34/10 A61B34/25 A61B2034/105 A61B2034/2048

    Abstract: A system and a method are provided for simulating a breast deformation of a subject using sensor data obtained from an orientation sensor of a mobile device, with the orientation sensor being configured for sensing an orientation of the mobile device with respect to a direction of gravity. In accordance with the system and method, model data is accessed which defines a biomechanical model of a breast. A simulation subsystem is provided for obtaining the sensor data from the orientation sensor of the mobile device and for determining a gravitational breast deformation by applying a gravitational force to the biomechanical model in a direction which is defined based on the orientation of the mobile device. A deformed model may be displayed on a display of the mobile device. The system and the method provide an intuitive way of simulating the breast deformation.

    INSTANT SCOUT SCAN CHECKER
    5.
    发明公开

    公开(公告)号:US20230298745A1

    公开(公告)日:2023-09-21

    申请号:US18017100

    申请日:2021-07-23

    CPC classification number: G16H40/63 G16H30/40

    Abstract: An apparatus (1) for use in conjunction with a medical imaging device (2) having an imaging device controller (4) that displays a graphical user interface (GUI) (8) including a preview image viewport (9). The apparatus includes at least one electronic processor (20) programmed to: receive a video feed (17) of the GUI displayed on the imaging device controller; extract a preview image (12) displayed in the preview image viewport from the live video feed of the GUI; perform an image analysis (38) on the extracted preview image to detect one or more image features (42) indicative of one or more potential problems associated with a medical imaging examination performed with the medical imaging device; and output an alert (30) when one or more potential problems associated with the medical imaging examination is detected from the one or more image features.

    AUTOMATIC CERTAINTY EVALUATOR FOR RADIOLOGY REPORTS

    公开(公告)号:US20230274816A1

    公开(公告)日:2023-08-31

    申请号:US18015998

    申请日:2021-07-14

    CPC classification number: G16H30/40 G16H15/00 G06N20/00 G16H30/20

    Abstract: A non-transitory computer readable medium (26) stores instructions readable and executable by at least one electronic processor (20) to perform a radiology report analysis method (100). The method includes: identifying occurrences of radiology findings (36) and associated uncertainty indicators (38) in a plurality of radiology reports (32); assigning uncertainty scores (40) on a numerical scale to the identified occurrences of radiology findings based on the associated uncertainty indicators; and providing a user interface (UI) (28) on a display device (24) operatively connected with the at least one electronic processor that displays a representation (44) of the uncertainty scores assigned to the occurrences of radiology findings.

    GUIDED REVIEWS OF PRIOR EXAMS AND REPORTS

    公开(公告)号:US20210134465A1

    公开(公告)日:2021-05-06

    申请号:US17074669

    申请日:2020-10-20

    Abstract: A system for reviewing a prior medical image and a related prior medical report, including: a plurality of measurement tools configured to: receive an input medical image and information regarding a medical finding; analyze the input medical image to determine a measurement relating to the medical finding; and output the measurement relating to the medical finding; a report analyzer configured to: receive the prior medical report; analyze the prior medical report to extract first information regarding a first medical finding described in the medical report; select a first measurement tool of the plurality of measurement tools to analyze the prior medical image based upon the first extracted information; and output the first extracted information to the first measurement tool, wherein the first measurement tool analyzes the prior medical image to produce a first updated measurement of the first medical finding and the first measurement tool analyzes a new medical image associated with the prior medical image to produce a new first measurement of the first medical finding; a report generator configured to receive the new first measurement and to produce a new report based upon the new first measurement.

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