Actively Recruiting
Machine Learning for Handheld Vascular Studies
Led by Duke University · Updated on 2026-03-05
180
Participants Needed
1
Research Sites
538 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
CONDITIONS
Official Title
Machine Learning for Handheld Vascular Studies
Who Can Participate
Eligibility Criteria
You may qualify if you...
- A clinically driven request for non-invasive vascular testing must be present
You will not qualify if you...
- None (other than patient declines to participate)
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Duke University Medical Center
Durham, North Carolina, United States, 27710
Actively Recruiting
Research Team
L
Leila Mureebe, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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