Patents by Inventor Christopher Bridge

Christopher Bridge has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11545266
    Abstract: Systems and techniques for generating and/or employing a medical imaging stroke model are presented. In one example, a system employs a convolutional neural network to generate output data regarding a brain anatomical region based on diffusion-weighted imaging (DWI) data associated with the brain anatomical region and apparent diffusion coefficient (ADC) data associated with the brain anatomical region. The system also detects presence or absence of a medical stroke condition associated with the brain anatomical region based on the output data.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: January 3, 2023
    Assignees: GE PRECISION HEALTHCARE LLC, PARTNERS HEALTHCARE SYSTEM, INC., THE GENERAL HOSPITAL CORPORATION, THE BRIGHAM AND WOMEN'S HOSPITAL, INC.
    Inventors: John Francis Kalafut, Bernardo Bizzo, Stefano Pedemonte, Christopher Bridge, Neil Tenenholtz, Ramon Gilberto Gonzalez
  • Publication number: 20210093278
    Abstract: Systems and techniques for generating and/or employing a computed tomography (CT) medical imaging intracranial hemorrhage model are presented. In one example, a system employs a convolutional neural network to generate classification output data regarding a brain anatomical region based on computed tomography (CT) data associated with the brain anatomical region. The system also detects presence or absence of a medical intracranial hemorrhage condition in the CT data based on the classification output data. Furthermore, the system determines a subtype of the medical intracranial hemorrhage condition based on the classification output data. The system also generates display data associated with the subtype of the medical intracranial hemorrhage condition in a human-interpretable format.
    Type: Application
    Filed: September 30, 2019
    Publication date: April 1, 2021
    Inventors: John Francis Kalafut, Bernardo Bizzo, Behrooz Hashemian, Christopher Bridge, Neil Tenenholtz, Stuart Robert Pomerantz
  • Publication number: 20210098127
    Abstract: Systems and techniques for generating and/or employing a medical imaging stroke model are presented. In one example, a system employs a convolutional neural network to generate output data regarding a brain anatomical region based on diffusion-weighted imaging (DWI) data associated with the brain anatomical region and apparent diffusion coefficient (ADC) data associated with the brain anatomical region. The system also detects presence or absence of a medical stroke condition associated with the brain anatomical region based on the output data.
    Type: Application
    Filed: September 30, 2019
    Publication date: April 1, 2021
    Inventors: John Francis Kalafut, Bernardo Bizzo, Stefano Pedemonte, Christopher Bridge, Neil Tenenholtz, Ramon Gilberto Gonzalez