Reliability of Minimally Trained Operator's Velocity-Time Integral Measurement Guided by Artificial Intelligence VTI

Recruiting now · Not applicable

Conditions studied: Velocity-time Integral Measurement, Critically Ill Patients, Tissue Hypoperfusion

In brief

Stroke volume is a major determinant of tissue perfusion and therefore a key parameter to monitor in patients with hemodynamic instability and hypoperfusion. Left Ventricular Outflow Tract (LVOT) Velocity-Time Integral (VTI) measured using pulsed wave Doppler is widely used as an estimation of stroke volume and should be a competence required for every Intensive Care Unit (ICU) physician. Recently, research in Artificial Intelligence (AI) applied to medical imaging constituted a breakthrough in the acquisition of images. The goal of the present study is to characterize and quantify the reliability and reproducibility of LVOT VTI measurements by comparing the measures obtained by minimally-trained operators and expert physicians, guided by UltraSight AI software.

Key facts

Study ID
NCT06486467
Run by
Assistance Publique - Hôpitaux de Paris
People needed
100
Starts
2024-11-14
Expected to finish
2026-05-15
Last updated by the study team
2026-04-21

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

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You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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