About this trial
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
Eligibility criteria
This trial accepts healthy volunteersQualifiers
A clinically driven request for non-invasive vascular testing must be present
Disqualifiers
None (other than patient declines to participate)
Trial population
Patients with a clinical indication and order for non-invasive vascular testing
Trial design
Cohort
Prospective
Treatments tested in this trial
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
Treatment groups
Trial outcomes
Primary outcomes
Algorithm generated Doppler classification
Secondary outcomes
Presence or absence of pulse
Quality of pulse
Presence or absence of Doppler signal
Quality of Doppler signal
Sponsors and contacts
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