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Methods and Systems Using Video-Based Machine Learning for Beat-To-Beat Assessment of Cardiac Function
Methods and Systems Using Video-Based Machine Learning for Beat-To-Beat Assessment of Cardiac Function
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机译:使用基于视频的机器学习的方法和系统,用于心功能的节拍评估
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摘要
Various embodiments are directed to video-based deep learning evaluation of cardiac ultrasound that accurately identify cardiomyopathy and predict ejection fraction, the most common metric of cardiac function. Embodiments include systems and methods for analyzing images obtained from an echocardiogram. Certain embodiments include receiving video from a cardiac ultrasound of a patient illustrating at least one view the patient's heart, segmenting a left ventricle in the video, and estimating ejection fraction of the heart. Certain embodiments include at least one machine learning algorithm.
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