AI could help nurses measure heart function as well as experts

NCT ID NCT06486467

Recruiting now Knowledge-focused Sponsor: Assistance Publique - Hôpitaux de Paris Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looks at whether ICU staff with minimal training can measure stroke volume (a key sign of blood flow) as accurately as expert doctors, using an AI-guided ultrasound tool. About 100 critically ill patients who need fluids will be enrolled. The goal is to see if AI can make this important measurement more accessible, potentially speeding up care.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could show that AI can help less experienced staff make reliable measurements, potentially improving care in busy ICUs.
What could go wrong: This is a small, early-stage reliability study, not a treatment trial. It only measures accuracy, not patient outcomes, so real-world benefits are uncertain.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

ischemic disease

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CRITICALLY ILL PATIENTS TISSUE HYPOPERFUSION VELOCITY-TIME INTEGRAL MEASUREMENT

Contacts and locations

Locations

CHU de Limoges
NOT_YET_RECRUITING

Limoges, 87042, France
Hôpital Lariboisière - APHP
RECRUITING

Paris, 75010, France
Hôpital européen Georges Pompidou - APHP
RECRUITING

Paris, 75015, France

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