MedTrace Logo

Machine Learning for Handheld Vascular Studies

NCT02932176 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 180

Last updated 2026-03-05

No results posted yet for this study

Summary

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

Interventions

DEVICE

Non-invasive vascular testing

Results of clinically indicated non-invasive vascular testing will be used to develop a machine learning algorithm

DEVICE

machine-learning algorithm

Sponsors & Collaborators

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2016-09-07
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02932176 on ClinicalTrials.gov