Image analysis system for otoscopy images
CA3322406A1Pending Publication Date: 2025-09-04TYMPA HEALTH TECH LTD
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Patent Information
- Application Number
- CA3322406
- Authority / Receiving Office
- CA · CA
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-03-08
- Filing Date
- 2025-02-28
- Publication Date
- 2025-09-04
AI Technical Summary
Technical Problem
Interpretation of otoscopy images is challenging for users with limited experience, leading to potential misdiagnosis and delayed intervention in ear conditions.
Method used
A computer-implemented system using machine learning models to classify otoscopy images, providing immediate diagnostic support and flagging abnormal conditions, with the option for remote review by specialists.
Benefits of technology
Enhances diagnostic efficiency by facilitating timely identification of ear abnormalities and enabling early intervention, improving diagnostic accuracy and reducing misdiagnosis.
✦ Generated by Eureka AI based on patent content.
Abstract
The present disclosure relates to an otoscopy application for a mobile device for processing otoscopy image data. The otoscopy application acquires image data of a subject's ear canal using a camera of the mobile device. An image analysis module is configured to process the image data using a trained machine learning model stored at the mobile device, wherein the trained machine learning model is configured to generate classification data for the image data, the classification data distinguishing between at least a normal classification indicating the image data is representative of a healthy ear and one or more abnormal classifications relating to abnormal conditions of the ear. An upload module transmits the image data and the classification data over the network to a remote review system for review.
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