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Mahmoud Ebrahimkhani

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Research Bibliography

ID: a-deep-learning-approach-to-using-wearable-seismocardiography-for-diagnosing-aortic-valve-stenosis-and-predicting-aortic-hemodynamics-obtained-by-4d-flow-mri2023

A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI

This study shows that wearable heart vibration sensors combined with AI can predict blood flow and diagnose aortic valve problems as accurately as advanced MRI scans, offering a cheaper and faster alternative for heart disease screening.

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