Machine Learning for Handheld Vascular Studies

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorDuke University

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 volunteers

Qualifiers

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

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • Non-invasive vascular testing

    Device

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

  • machine-learning algorithm

    Device

Treatment groups

180 Participants
are divided into 1 treatment group
Group A: Non-invasive vascular testing2 interventions

Trial outcomes

Primary outcomes

1

Algorithm generated Doppler classification

Time frame
1 year

Secondary outcomes

1

Presence or absence of pulse

Time frame
1 year
2

Quality of pulse

Time frame
1 year
3

Presence or absence of Doppler signal

Time frame
1 year
4

Quality of Doppler signal

Time frame
1 year

Other outcomes

Sponsors and contacts

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