System and method for diagnostics and prognostics of mild cognitive impairment using deep learning
US11651862B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 15, 2022 |
| Grant date | May 16, 2023 |
| Priority date | — |
| Expiry date | Jul 15, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A system and method for predicting mild cognitive impairment (MCI) related diagnosis and prognosis utilizing deep learning. More specifically, the system and method produce predictions of MCI conversions to Alzheimer's/dementia and prognosis related thereof. Using available medical imaging and non-imaging data a diagnosis and prognosis model is a deep learned model trained using transfer learning. An MCI-DAP server may then receive a request from a clinician to process predictions related to a target patient's diagnosis or prognosis. The target patient's medical data is retrieved and used to create a model for the target patient. Then details of the target patient's model and the diagnosis and prognosis model are compared, a prediction is generated, and the prediction is returned to the clinician. As new medical data becomes available it is fed into the respective model to improve accuracy and update predictions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.