Medical evaluation machine learning workflows and processes
US9846938B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2016 |
| Grant date | Dec 19, 2017 |
| Priority date | — |
| Expiry date | Jul 26, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for processing electronic imaging data obtained from medical imaging procedures are disclosed herein. Some embodiments relate to data processing mechanisms for medical imaging and diagnostic workflows involving the use of machine learning techniques such as deep learning, artificial neural networks, and related algorithms that perform machine recognition of specific features and conditions in imaging data. In an example, a deep learning model is selected for automated image recognition of a particular medical condition on image data, and applied to the image data to recognize characteristics of the particular medical condition. Based on the characteristics recognized by the automated image recognition on the image data, an electronic workflow for performing a diagnostic evaluation of the medical imaging study may be modified, updated, or prioritized.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.