Machine learning for otitis media diagnosis
US12137871B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2022 |
| Grant date | Nov 12, 2024 |
| Priority date | — |
| Expiry date | May 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/031
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Disclosed herein are systems and methods for classifying a tympanic membrane by using a classifier. The classifier is a machine learning algorithm. A method for classifying a tympanic membrane includes steps of: receiving, from an interrogation system, one or more datasets relating to the tympanic membrane; determining a set of parameters from the one or more datasets, wherein at least one parameter of the set of parameters is related to a dynamic property or a static position of the tympanic membrane; and outputting a classification of the tympanic membrane based on a classifier model derived from the set of parameters. The classification comprises one or more of a state, a condition, or a mobility metric of the tympanic membrane.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.