MACHINE LEARNING SYSTEM FOR ASSESSING HEART VALVES AND SURROUNDING CARDIOVASCULAR TRACTS

摘要

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.

主权项

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.