Predicting wound management treatment resources using machine learning
US12390155B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 27, 2021 |
| Grant date | Aug 19, 2025 |
| Priority date | — |
| Expiry date | Mar 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Certain aspects of the present disclosure provide techniques for predicting wound management treatment resources. This includes determining characteristics of a wound for a patient based on an image of the wound, including detecting the characteristics based on analyzing the image using a first machine learning (ML) model trained to detect wound characteristics from a captured image. The techniques further include predicting at least one of: (i) treatment resources or (ii) a treatment facility for treating the wound, including providing to a second trained ML model characteristics of the wound, patient medical data for the patient, and treatment facility data describing a plurality of available treatment facilities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.