Machine Learning for Handheld Vascular Studies
NCT: NCT02932176 · COMPLETED
Brief 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
Frequently Asked Questions
What is Machine Learning for Handheld Vascular Studies?
Machine Learning for Handheld Vascular Studies is a clinical trial registered under NCT02932176. Current status: COMPLETED.
What is the status of NCT02932176?
The current status of NCT02932176 (Machine Learning for Handheld Vascular Studies) is: COMPLETED.
When did Machine Learning for Handheld Vascular Studies start?
Machine Learning for Handheld Vascular Studies started on 2016-09-07.
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Official Source
View on ClinicalTrials.gov →Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.