Machine learning for handheld vascular studies

Purpose of this Study

We are doing this study to learn more about the sounds coming from a Doppler device when testing arteries. The recording will be used to train a computer program to compare the sounds from healthy arteries to non-healthy arteries.

Who Can Participate?

Eligibility

Adults ages 18+ who are scheduled to have an artery test at Duke. For more information, contact the study team at frank.benedetti@duke.edu.

What is Involved?

Description

If you choose to join this study, we will record the sound coming from a Doppler device (ultrasound) that is used during your arterial test.

Study Details

Full Title

Development and validation of a novel machine-learning algorithm to assist in handheld vascular diagnostics

Principal Investigator

Leila
Mureebe

Protocol Number

PRO00070090

NCT ID

NCT02932176

Phase

Pilot

Enrollment Status

Open to Enrollment