Machine Learning for Handheld Vascular Studies
Part of paid clinical trials in Durham, North Carolina.
- Sponsor
- Duke University
- Study ID
- NCT02932176
- Status
- Recruiting
Conditions
- Atherosclerosis
- Wounds and Injuries
Eligibility Criteria
- Sex
- ALL
- Age
- N/A - N/A
- Healthy Volunteers
- Accepted
Interventions
- Non-invasive vascular testing — DEVICEResults of clinically indicated non-invasive vascular testing will be used to develop a machine learning algorithm
- machine-learning algorithm — DEVICE
Study Details
The use of handheld arterial 'stethoscopes' (continuous wave Doppler devices) are ubiquitous in clinical practice. However, most users have received no formal training in their use or the interpretation of the returned data. This leads to delays in diagnosis and errors in diagnosis. The investigators intend to create a novel machine-learning algorithm to assist clinicians in the use of this data. This study will allow the investigators to collect sound files from the use of the devices and compare the algorithms output to established, existing vascular testing. There will be no invasive procedures, and use of these stethoscopes is part of routine clinical care. If successful, this data and algorithm will be later deployed via smartphone app for point of case testing in a separate study
Key Dates
- Start date
- Sep 7, 2016
- Status verified
- Mar 2026
- Primary completion
- Dec 31, 2026
- Completion
- Dec 31, 2026
Study Design
- Enrollment
- 180 participants (estimated)
Arms
- Arm: Non-invasive vascular testingAll patients undergoing non-invasive vascular testing will be eligible for this study. The official results will be used to develop the algorithm and to evaluate the accuracy of the algorithm
Primary Outcome Measure
Algorithm generated Doppler classification [ Time Frame: 1 year ]
Central Contacts
- Leila Mureebe, MD
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| Duke University Medical Center | Durham | North Carolina | 27710 | Leila Mureebe, MD |
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