Using unstructured temporal medical data for disease prediction
US11955243B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 11, 2020 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Nov 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H10/60
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method for providing a lung disease risk measure in a Computer Aided Diagnosis system is described. The method comprising the steps of: receiving a plurality of inputs for a subject, each input comprising at least one image showing all or part of the lungs of a patient and a time stamp for the image, where the inputs are obtained at varying intervals; analysing the inputs to assess temporal changes in the images using at least one of an input data encoder and a time stamp encoder; inputting the output of at least one of the encoders to a score calculator to calculate a risk score; outputting the risk score indicating the lung disease risk for the subject. A Computer Aided diagnosis system for implementing the method is also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.