Autonomous diagnosis of ear diseases from biomarker data
US12011261B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2023 |
| Grant date | Jun 18, 2024 |
| Priority date | — |
| Expiry date | Aug 21, 2043 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B5/7267
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A fully autonomous system is used to diagnose an ear infection in a patient. For example, a processor receives patient data about a patient, the patient data comprising at least one of: patient history from medical records for the patient, one or more vitals measurements of the patient, and answers from the patient about the patient's condition. The processor receives a set of biomarker features extracted from measurement data taken from an ear of the patient. The processor synthesizes the patient data and the biomarker features into input data, and applies the synthesized input data to a trained diagnostic model, the diagnostic model comprising a machine learning model configured to output a probability-based diagnosis of an ear infection from the synthesized input data. The processor outputs the determined diagnosis from the diagnostic model. A service may then determine a therapy for the patient based on the determined diagnosis.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.