Detecting deficient coverage in gastroenterological procedures
US11918178B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 26, 2021 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | May 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/031
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure is directed towards systems and methods that leverage machine-learned models to decrease the rate at which abnormal sites are missed during a gastroenterological procedure. In particular, the system and methods of the present disclosure can use machine-learning techniques to determine the coverage rate achieved during a gastroenterological procedure. Measuring the coverage rate of the gastroenterological procedure can allow medical professionals to be alerted when the coverage output is deficient and thus allow an additional coverage to be achieved and as a result increase in the detection rate for abnormal sites (e.g., adenoma, polyp, lesion, tumor, etc.) during the gastroenterological procedure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.