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Enhanced Newborn Congenital Heart Disease Screening using Artificial Intelligence-enabled Electrocardiogram (ECG) and Phonocardiogram
Rochester, MN
The purpose of the study is to develop and validate artificial Intelligence (AI) enabled sceening tools for the early detection of congenital heart disease (CHD) in newborns. This involves developing algorithms based electrocardiogram (ECG) and phonocardiogram data, both retrospective and prospectively. The study aims to improve upon current screening methods, such as pulse-oximetry, which have limitations in detecting both critical and non-critical CHD. By leveraging AI technology, the study seeks to enhance the accuracy and accessibility of CHD screening, potentially leading to better outcomes for affected newborns.
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