Arterial stenosis is the cause of peripheral arterial disease in the elderly, diabetics and smokers and is a serious medical condition. Arterial stenosis is also one of the most common causes of early transplant failure. The present invention uses spectral Doppler ultrasound waveform of blood flow as a non-invasive method to diagnose stenosis.
Systems and computer implemented methods for detecting and evaluating flow of biological fluids in the body, and in particular facilitating medical diagnoses of pathologies such as stenosis or other pathology of a hepatic artery or other non-carotid vasculature by using machine learning to analyze a spectral Doppler ultrasound waveform of blood flow.
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early transplant failure
computer implemented methods
publications automated prediction
translational science proceedings
specific quantitative measure