Patents by Inventor Wuxiao ZHAO

Wuxiao ZHAO 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).

  • Method for early diagnosis of keratoconus based on multi-modal data
    Patent number: 11717151
    Abstract: A method for early diagnosis of keratoconus based on multi-modal data considers a mutual relationship between both eyes using four refractive maps for corneas of the both eyes and absolute corneal elevation data, and combines the deep convolutional network method, the traditional support vector machine (SVM) method in machine learning, and the elevation map enhancement method with adjustable best-fit-sphere (BFS) to identify sensitivity and specificity of a focus and balance the sensitivity and specificity. With multi-dimensional comprehensive judgment of a keratoconus morbidity with a patient as a unit, combined with binocular data including both manual selection features and deep network learning from big data, the diagnosis method has higher robustness and accuracy.
    Type: Grant
    Filed: August 5, 2021
    Date of Patent: August 8, 2023
    Assignees: SHANGHAI MEDIWORKS PRECISION INSTRUMENTS CO., LTD., EYE AND ENT HOSPITAL OF FUDAN UNIVERSITY
    Inventors: Yang Shen, Xingtao Zhou, Huijie Li, Chongyang Wang, Wenguang Chen, Jing Zhao, Meiyan Li, Yiyong Xian, Haipeng Xu, Lingling Niu, Wuxiao Zhao, Tian Han
  • METHOD FOR EARLY DIAGNOSIS OF KERATOCONUS BASED ON MULTI-MODAL DATA
    Publication number: 20230190089
    Abstract: A method for early diagnosis of keratoconus based on multi-modal data considers a mutual relationship between both eyes using four refractive maps for corneas of the both eyes and absolute corneal elevation data, and combines the deep convolutional network method, the traditional support vector machine (SVM) method in machine learning, and the elevation map enhancement method with adjustable best-fit-sphere (BFS) to identify sensitivity and specificity of a focus and balance the sensitivity and specificity. With multi-dimensional comprehensive judgment of a keratoconus morbidity with a patient as a unit, combined with binocular data including both manual selection features and deep network learning from big data, the diagnosis method has higher robustness and accuracy.
    Type: Application
    Filed: August 5, 2021
    Publication date: June 22, 2023
    Applicants: SHANGHAI MEDIWORKS PRECISION INSTRUMENTS CO., LTD., EYE AND ENT HOSPITAL OF FUDAN UNIVERSITY
    Inventors: Yang SHEN, Xingtao ZHOU, Huijie LI, Chongyang WANG, Wenguang CHEN, Jing ZHAO, Meiyan LI, Yiyong XIAN, Haipeng XU, Lingling NIU, Wuxiao ZHAO, Tian HAN