Patents by Inventor Natasha IRONSIDE

Natasha IRONSIDE 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: 11915829
    Abstract: A system for perihematomal edema (PHE) analysis. The system includes a computing device receiving computerized tomography (CT) images from CT imaging devices. The CT images are associated with patients exhibiting perihematomal edema surrounding cerebral hematomas. CT images may be converted into feature vectors and passed as input to a convolution neural network model for identification and diagnosis of perihematomal edema volume changes. Detected changes may be thresholded to determine if the change represents an increase or shrinkage in the volumetry of the perihematomal edema.
    Type: Grant
    Filed: December 19, 2022
    Date of Patent: February 27, 2024
    Inventor: Natasha Ironside
  • Patent number: 11842492
    Abstract: A system performs cerebral hematoma analysis. The system includes a computing device receiving computerized tomography (CT) images from CT imaging devices. The CT images are associated with patients exhibiting cerebral hematomas. CT images may be converted into feature vectors and passed as input to a convolution neural network model for identification and diagnosis of hematoma volume changes. Detected changes may be thresholded to determine if the change represents an increase or shrinkage in the volumetry of the hematoma.
    Type: Grant
    Filed: October 4, 2022
    Date of Patent: December 12, 2023
    Inventor: Natasha Ironside
  • Publication number: 20230197275
    Abstract: A system for perihematomal edema (PHE) analysis. The system includes a computing device receiving computerized tomography (CT) images from CT imaging devices. The CT images are associated with patients exhibiting perihematomal edema surrounding cerebral hematomas. CT images may be converted into feature vectors and passed as input to a convolution neural network model for identification and diagnosis of perihematomal edema volume changes. Detected changes may be thresholded to determine if the change represents an increase or shrinkage in the volumetry of the perihematomal edema.
    Type: Application
    Filed: December 19, 2022
    Publication date: June 22, 2023
    Inventor: Natasha IRONSIDE
  • Publication number: 20230078532
    Abstract: A system performs cerebral hematoma analysis. The system includes a computing device receiving computerized tomography (CT) images from CT imaging devices. The CT images are associated with patients exhibiting cerebral hematomas. CT images may be converted into feature vectors and passed as input to a convolution neural network model for identification and diagnosis of hematoma volume changes. Detected changes may be thresholded to determine if the change represents an increase or shrinkage in the volumetry of the hematoma.
    Type: Application
    Filed: October 4, 2022
    Publication date: March 16, 2023
    Inventor: Natasha IRONSIDE
  • Publication number: 20220375087
    Abstract: A system for cerebral hematoma analysis. The system includes a computing device receiving computerized tomography (CT) images from CT imaging devices. The CT images are associated with patients exhibiting cerebral hematomas. CT images may be converted into feature vectors and passed as input to a convolution neural network model for identification and diagnosis of hematoma volume changes. Detected changes may be thresholded to determine if the change represents an increase or shrinkage in the volumetry of the hematoma.
    Type: Application
    Filed: April 19, 2022
    Publication date: November 24, 2022
    Inventor: Natasha IRONSIDE
  • Publication number: 20220336084
    Abstract: A system for cerebral hematoma analysis. The system includes a computing device receiving computerized tomography (CT) images from CT imaging devices. The CT images are associated with patients exhibiting cerebral hematomas. CT images may be converted into feature vectors and passed as input to a convolution neural network model for identification and diagnosis of hematoma volume changes. Detected changes may be thresholded to determine if the change represents an increase or shrinkage in the volumetry of the hematoma.
    Type: Application
    Filed: April 19, 2022
    Publication date: October 20, 2022
    Inventor: Natasha IRONSIDE