Patents Assigned to iCardio.ai
  • Publication number: 20240257967
    Abstract: A method for facilitating a diagnosis of pathologies using a machine learning model includes receiving a medical data from a device, analyzing the medical data using a machine learning model comprising an artificial neural network which comprises an input layer which takes medical data as inputs, a middle layer which outputs a lower dimensional abstract vector space representation for each inputs by encoding the medical data to a lower dimensional abstract vector space, and output layers which classifies the lower dimensional abstract vector space representation to outputs corresponding to assessment parameters considered in the diagnosis of the pathologies, obtaining outputs from the machine learning model for the diagnosis of pathologies based on the analyzing, generating a result based on the outputs, and storing the result and the machine learning model.
    Type: Application
    Filed: January 25, 2024
    Publication date: August 1, 2024
    Applicant: iCardio.ai
    Inventors: Roman A. Sandler, Joseph Sokol, Daniel Sokol, Damjan Postolovski, Aleksandar Stojmenski, Markos Amsalu Muche, Harris Lee Bergman, Jack Elie Gindi