Patent ID: 9092743
Filing Date: 2015-07-28
Classification: A61B,G06F,G06N,G16H,G16Z

Abstract:
1. A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof, the system comprising: a training mode configured to train a computer and construct a transformation function to predict at least one of an unknown anatomical characteristic or an unknown physiological characteristic of at least one of a heart valve, an inflow tract or an outflow tract, using at least one of a known anatomical characteristic or a known physiological characteristic of the at least one heart valve, inflow tract or outflow tract; and a production mode configured to use the transformation function to predict at least one of the unknown anatomical characteristic or the unknown physiological characteristic of the at least one heart valve, inflow tract or outflow tract, based on at least one of the known anatomical characteristic or the known physiological characteristic of the at least one heart valve, inflow tract or outflow tract, wherein the production mode is further configured to receive one or more feature vectors.