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Study identifier: NCT06486467 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Velocity-time Integral Measurement · Critically Ill Patients · Tissue Hypoperfusion  ·  Sponsor: Assistance Publique - Hôpitaux de Paris

PhaseNA
Planned participants100
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Bernard Cholley  ·  0156092515  ·  bernard.cholley@aphp.fr

Cléo Bourgeois  ·  0156095638  ·  cleo.bourgeois@aphp.fr

Always discuss trial participation with your own doctor first.

Locations (3)

CHU de LimogesLimoges, FranceNot Yet Recruiting
Hôpital Lariboisière - APHPParis, FranceRecruiting
Hôpital européen Georges Pompidou - APHPParis, FranceRecruiting

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Source record: clinicaltrials.gov/study/NCT06486467