Patents Assigned to REMMIE, INC.
  • Publication number: 20260301975
    Abstract: A method for merging imaging data into a telemedicine session is provided. The method includes initiating a telemedicine session on a host device and determining whether a network connection is available between an otoscope and the host device for providing imaging data. The otoscope is configured to generate a direct connection for providing the imaging data. Based on availability of the network connection, a connection is established between the host device and the otoscope via either the network connection or the direct connection. Imaging data generated by the otoscope, including a video stream and/or one or more images, is shared from the host device during the telemedicine session.
    Type: Application
    Filed: June 3, 2026
    Publication date: October 1, 2026
    Applicant: REMMIE, INC.
    Inventors: Jane Yuqian ZHANG, Zhan WANG
  • Patent number: 12688942
    Abstract: An improvement in the telemedicine-based diagnosis of acute otitis media is discussed. The improvement including a system and method for merging an otoscope video stream into a telemedicine session. Operations for merging the otoscope video stream can being with initiating a telemedicine session. Subsequently, the system can determine, from within the telemedicine session, whether a connection to an otoscope providing the otoscope video stream is available. If the video stream is available, the system can access the otoscope video stream within the telemedicine session.
    Type: Grant
    Filed: October 27, 2022
    Date of Patent: July 21, 2026
    Assignee: REMMIE, INC.
    Inventors: Jane Yuqian Zhang, Zhan Wang
  • Publication number: 20250266167
    Abstract: Various aspects of methods, systems, and use cases may be used to generate an ear disease state prediction to assist diagnosis of an ear disease. A method may include receiving an image an ear, predicting an image-based confidence level of a disease state in the ear by using the image as in input to a machine learning trained model. The method may include receiving text, for example corresponding to a symptom of the patient. The method may include predicting a symptom-based confidence level of the disease state in the ear by using the text as in input to a trained classifier. The method may include using the results of the image-based confidence level and the symptom-based confidence level to determine an overall confidence level of presence of an ear infection in the ear of the patient.
    Type: Application
    Filed: May 5, 2025
    Publication date: August 21, 2025
    Applicant: REMMIE, INC.
    Inventors: Jane Yuqian ZHANG, Zhan WANG, Emma Oo