Patents by Inventor Davide Valeriani

Davide Valeriani 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).

  • Publication number: 20250213175
    Abstract: Systems and methods are provided for evaluating a patient for a neurological movement disorder. A three-dimensional medical image of a brain of the patient is captured and provided to an artificial neural network having at least one convolutional layer to provide a set of output values. The set of output values is provided to a machine learning model to provide a clinical parameter representing one of a presence of the neurological movement disorder in the patient and a response of the patient to a specific treatment for the neurological movement disorder.
    Type: Application
    Filed: March 24, 2025
    Publication date: July 3, 2025
    Inventors: Kristina Simonyan, Davide Valeriani
  • Patent number: 12257063
    Abstract: Systems and methods are provided for evaluating a patient for a neurological movement disorder. A three-dimensional medical image of a brain of the patient is captured and provided to an artificial neural network having at least one convolutional layer to provide a set of output values. The set of output values is provided to a machine learning model to provide a clinical parameter representing one of a presence of the neurological movement disorder in the patient and a response of the patient to a specific treatment for the neurological movement disorder.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: March 25, 2025
    Assignee: MASSACHUSETTS EYE AND EAR INFIRMARY
    Inventors: Kristina Simonyan, Davide Valeriani
  • Publication number: 20220369999
    Abstract: Systems and methods are provided for evaluating a patient for a neurological movement disorder. A three-dimensional medical image of a brain of the patient is captured and provided to an artificial neural network having at least one convolutional layer to provide a set of output values. The set of output values is provided to a machine learning model to provide a clinical parameter representing one of a presence of the neurological movement disorder in the patient and a response of the patient to a specific treatment for the neurological movement disorder.
    Type: Application
    Filed: September 30, 2020
    Publication date: November 24, 2022
    Inventors: Kristina Simonyan, Davide Valeriani