AI listens to arteries: new algorithm aims to cut diagnostic errors
NCT ID NCT02932176
First seen Jun 27, 2026 · Last updated Aug 28, 2026 · Updated 2 times
Summary
This study aims to create a smart computer program that helps doctors better understand the sounds from a handheld device used to check blood flow in arteries. Many doctors lack formal training in using this device, which can lead to missed or wrong diagnoses. The study will collect sound recordings from 180 patients who are already scheduled for standard vascular tests, then compare the algorithm's analysis to the established test results. No extra procedures or risks are involved.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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155 people
The number who actually took part.
- Started
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Sep 2016
- Finished
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Jul 2026
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients with a clinical indication and order for non-invasive vascular testing
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * A clinically driven request for non-invasive vascular testing must be present Exclusion Criteria: * None (other than patient declines to participate)
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Duke University Medical Center
Durham, North Carolina, 27710, United States
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