Invention Grant
- Patent Title: Machine learning system for assessing heart valves and surrounding cardiovascular tracts
-
Application No.: US15923032Application Date: 2018-03-16
-
Publication No.: US10943698B2Publication Date: 2021-03-09
- Inventor: Michael A. Singer
- Applicant: Stenomics, Inc.
- Applicant Address: US CA Belmont
- Assignee: Stenomics, Inc.
- Current Assignee: Stenomics, Inc.
- Current Assignee Address: US CA Belmont
- Agency: Chernoff, Vilhauer, McClung & Stenzel, LLP
- Main IPC: G16H50/20
- IPC: G16H50/20 ; A61B5/00 ; G06N5/04 ; G06N20/00 ; A61B34/10 ; G16H50/50 ; G06F17/11

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.
Public/Granted literature
- US20180204140A1 MACHINE LEARNING SYSTEM FOR ASSESSING HEART VALVES AND SURROUNDING CARDIOVASCULAR TRACTS Public/Granted day:2018-07-19
Information query