AI listens to arteries: new algorithm aims to cut diagnostic errors
NCT ID NCT02932176
First seen Mar 11, 2026 · Last updated May 15, 2026 · Updated 13 times
Summary
This study collects sound recordings from a handheld Doppler device used in routine vascular exams. Researchers will develop a machine-learning algorithm to help doctors better interpret these signals, potentially reducing missed or incorrect diagnoses. About 180 adults already scheduled for non-invasive vascular testing will participate. No extra procedures or risks are involved.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Study contacts
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Contact
Email: •••••@•••••
Locations
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Duke University Medical Center
RECRUITINGDurham, North Carolina, 27710, United States
Contact Email: •••••@•••••
Conditions
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