Patents by Inventor Youichi KUMAGAI

Youichi KUMAGAI 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: 11270433
    Abstract: Provided is a disease diagnosis support method employing endoscopic images of a digestive organ using a neural network, and the like. The disease diagnosis support method employing endoscopic images of a digestive organ using a neural network trains the neural network by using first endoscopic images of the digestive organ, and corresponding to the first endoscopic images, at least one of definitive diagnosis result of being positive or negative for the disease of the digestive organ, a past disease, a severity level, and information corresponding to an imaged region. The trained neural network outputs, based on second endoscopic images of the digestive organ, at least one of a probability of being positive and/or negative for the disease of the digestive organ, a probability of a past disease, a severity level of the disease, and the information corresponding to the imaged region.
    Type: Grant
    Filed: May 11, 2018
    Date of Patent: March 8, 2022
    Assignee: AI MEDICAL SERVICE INC.
    Inventors: Tomohiro Tada, Kazuharu Aoyama, Hirotoshi Takiyama, Tsuyoshi Ozawa, Yuma Endo, Youichi Kumagai
  • Publication number: 20200279368
    Abstract: Provided is a disease diagnosis support method employing endoscopic images of a digestive organ using a neural network, and the like. The disease diagnosis support method employing endoscopic images of a digestive organ using a neural network trains the neural network by using first endoscopic images of the digestive organ, and corresponding to the first endoscopic images, at least one of definitive diagnosis result of being positive or negative for the disease of the digestive organ, a past disease, a severity level, and information corresponding to an imaged region. The trained neural network outputs, based on second endoscopic images of the digestive organ, at least one of a probability of being positive and/or negative for the disease of the digestive organ, a probability of a past disease, a severity level of the disease, and the information corresponding to the imaged region.
    Type: Application
    Filed: May 11, 2018
    Publication date: September 3, 2020
    Inventors: Tomohiro TADA, Kazuharu AOYAMA, Hirotoshi TAKIYAMA, Tsuyoshi OZAWA, Yuma ENDO, Youichi KUMAGAI