Machine learning for handheld vascular studies - Clinical Trial
Email to Participate
nicole.longoria@duke.edu
¿Cuál es el Propósito de este estudio?
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.
¿Cuál es la Condición que se está estudiando?
Arteries
¿Quién puede participar en el Estudio?
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.
Grupo etario
Adultos
¿Qué Implica?
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.
Detalles del Estudio
Título Completo
Development and validation of a novel machine-learning algorithm to assist in handheld vascular diagnostics
Investigador Principal
Leila Mureebe, MD, MPH
Especialista en cirugía vascular
Número de Protocolo
IRB:
PRO00070090
NCT:
NCT02932176
Fase
Phase Pilot
ClinicalTrials.gov
Ver en ClinicalTrials.gov
Estado de inscripción
Abierto para inscripción
Participate
Email nicole.longoria@duke.edu