Machine Learning Effectively Identifies Long QT Syndrome

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TOPLINE: A machine learning model was more effective at detecting congenital long QT syndrome on resting ECGs than manual measurement of QT intervals by arrhythmia experts, in a new study. METHODOLOGY: Researchers developed a machine learning approach known as a “convolutional neural network” to detect long QT syndrome on baseline ECGs. They tested the model […]

Author : News Health

Publish date : 2024-03-21 08:46:21

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