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    MULTIMODAL FOUNDATION MODEL FOR PATIENT RISK STRATIFICATION
    1.
    发明申请
    MULTIMODAL FOUNDATION MODEL FOR PATIENT RISK STRATIFICATION 有权

    公开(公告)号：US20250166827A1

    公开(公告)日：2025-05-22

    申请号：US18949548

    申请日：2024-11-15

    Applicant: GE Precision Healthcare LLC

    Inventor： Soumya Ghose ,  Sanghee Cho ,  Fiona Mary Ginty ,  Sriram Boppana ,  SM Shajedul Hasan ,  Erhan Bas ,  Thiruvarul Selvan Senthivel

    IPC: G16H50/20 ,  G16H10/60 ,  G16H50/30

    Abstract: The described technology is generally directed towards automated and dynamic creation of a recommended treatment for a patient's medical condition. A potential treatment can be generated by application of patient data to a multimodal model representing radiomic data and pathomic data integrated with transcriptomic data. The potential treatment can be applied to a probability model to determine a risk score for the potential treatment. The probability model comprises a collection of treatments and medical conditions, in conjunction with respective measures of success of application of a respective treatment to a respective condition. The multimodal model can comprise a network of nodes and edges, wherein the nodes represent knowledge of a patient condition, medical knowledge/medical research regarding the respective patient conditions, and the like. An output of the multimodal model is one or more recommended treatments for the medical condition.

    SYSTEMS AND METHODS FOR AUTOMATIC DISPLAY FIELD OF VIEW IN MEDICAL IMAGING
    2.
    发明申请
    SYSTEMS AND METHODS FOR AUTOMATIC DISPLAY FIELD OF VIEW IN MEDICAL IMAGING 有权

    公开(公告)号：US20250166248A1

    公开(公告)日：2025-05-22

    申请号：US18517813

    申请日：2023-11-22

    Applicant: GE Precision Healthcare LLC

    Inventor： Eli Stern ,  Lilach Shay Levi ,  Gali Elkin-Basudo

    IPC: G06T11/00 ,  A61B6/00 ,  G06T7/12 ,  G06T7/62 ,  G16H10/60 ,  G16H30/40

    Abstract: Methods and systems are herein provided for automatic determination of display field of view (DFOV) in medical imaging. In one example, a method comprises acquiring one or more scout images of a patient with an imaging system while the patient is positioned within a scanner of the imaging system; determining a body contour of the patient based on the one or more scout images; determining a widest dimension of the body contour; determining, based on the widest dimension, a display field of view (DFOV); acquiring scan data of the patient with the imaging system; reconstructing the scan data based on the DFOV to generate one or more reconstruction images; and displaying the one or more reconstruction images on a display device communicably coupled to the imaging system, wherein the patient remains within the scanner between acquisition of the one or more scout images and the scan data.

    Cleanable and sterilizable electrical connector for medical devices
    4.
    发明授权
    Cleanable and sterilizable electrical connector for medical devices 有权

    公开(公告)号：US12295785B2

    公开(公告)日：2025-05-13

    申请号：US17711713

    申请日：2022-04-01

    Applicant: GE Precision Healthcare LLC

    Inventor： Matthieu Petitprez ,  Edouard Dacruz ,  Jean-Marc Baraban ,  Giandonato Stallone

    IPC: A61B8/00 ,  H02G3/00

    Abstract: Systems and methods are provided for cleanable and sterilizable electrical connector for medical devices. A sterilizable connector may include a first shell and a second shell configured to engage one another, a nose housing that includes a mating area of the connector for engaging a corresponding mating area in a component of a medical device, and an overmolding that overmolds a combination of the first shell, the second shell, and the nose housing. Each of the first shell, the second shell, and the nose housing includes a first material that is compatible with cleaning and sterilization (C&S) treatment. The overmolding includes a second material that provides sealing of the combination of the first shell, the second shell, and the nose housing during the cleaning and sterilization (C&S) treatment. The connector is configured to enable applying at least sterilization without requiring closing or covering of the mating area of the connector.

    ELECTRONIC ACQUISITION OF TROUBLESHOOTING KNOWLEDGE FOR MEDICAL IMAGING SCANNERS
    5.
    发明申请
    ELECTRONIC ACQUISITION OF TROUBLESHOOTING KNOWLEDGE FOR MEDICAL IMAGING SCANNERS 有权

    公开(公告)号：US20250149153A1

    公开(公告)日：2025-05-08

    申请号：US18500691

    申请日：2023-11-02

    Applicant: GE Precision Healthcare LLC

    Inventor： Mathews Matson Chavarukattil ,  Rama Krishna Reddy Narayana Reddy Gari ,  Sridhar Madhavan

    IPC: G16H40/40 ,  G06N3/08

    Abstract: Systems or techniques that facilitate electronic acquisition of troubleshooting knowledge for medical imaging scanners are provided. In various embodiments, a system can access a plain text service manual and a service complaint that are associated with a medical imaging scanner. In various aspects, the system can identify, via named-entity recognition or natural language processing, a semantic hierarchy of the plain text service manual. In various instances, the system can record, via graphical user interface tracking, how a service technician that is troubleshooting the service complaint sequentially navigates through the semantic hierarchy, thereby yielding a troubleshooting trace that corresponds to the service complaint.

    PATH FINDING SYSTEM FOR ARTIFICIAL INTELLIGENCE MODEL OPTIMIZATION
    6.
    发明申请
    PATH FINDING SYSTEM FOR ARTIFICIAL INTELLIGENCE MODEL OPTIMIZATION 有权

    公开(公告)号：US20250148040A1

    公开(公告)日：2025-05-08

    申请号：US18500529

    申请日：2023-11-02

    Applicant: GE Precision Healthcare LLC

    Inventor： Xiaomeng Dong ,  Vivek Pinakin Soni ,  Dwijay Dhananjay Shanbhag ,  Ashok Vardhan Addala ,  Michael James Potter

    IPC: G06F17/11

    Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a path finding system for AI model optimization. The computer-implemented system can comprise a memory that can store computer-executable components. The computer-implemented system can further comprise a processor that can execute the computer-executable components stored in the memory, wherein the computer-executable components can comprise a graph generation component that can convert an AI model optimization workflow into a path finding graph comprising a plurality of paths that can capture respective relationships between a plurality of optimization tools, wherein the path finding graph can be employed to solve a graph traversal problem for an AI model optimization task based on a model optimization sequence.

    TECHNIQUES FOR UPDATING GRAPHICAL USER INTERFACES
    7.
    发明申请
    TECHNIQUES FOR UPDATING GRAPHICAL USER INTERFACES 有权

    公开(公告)号：US20250147777A1

    公开(公告)日：2025-05-08

    申请号：US18500234

    申请日：2023-11-02

    Applicant: GE Precision Healthcare LLC

    Inventor： Sélim Zenagui

    IPC: G06F9/451 ,  G06F3/04845

    Abstract: A processor-implemented method includes receiving user input from one or more user input devices, the user input corresponding to a selected element of a displayed graphical user interface having one or more software hooks to functionality provided by an undisplayed interface. The processor-implemented method also includes determining one or more corresponding target functions of the undisplayed interface based on the selected element, executing the one or more corresponding target functions via the one or more software hooks, and displaying one or more changes to the displayed graphical user interface based on the execution of the one or more corresponding target functions.

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