Machine learning system for assessing heart valves and surrounding cardiovascular tracts
US10943698B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 16, 2018 |
| Grant date | Mar 9, 2021 |
| Priority date | — |
| Expiry date | Oct 20, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16Z99/00
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof may include a training mode and a production mode. The training mode may be configured to train a computer and construct a transformation function to predict an unknown anatomical characteristic and/or an unknown physiological characteristic of a heart valve, inflow tract and/or outflow tract, using a known anatomical characteristic and/or a known physiological characteristic the heart valve, inflow tract and/or outflow tract. The production mode may be configured to use the transformation function to predict the unknown anatomical characteristic and/or the unknown physiological characteristic of the heart valve, inflow tract and/or outflow tract, based on the known anatomical characteristic and/or the known physiological characteristic of the heart valve, inflow tract and/or outflow tract.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.