AI ultrasound could revolutionize heart failure detection in emergency rooms

NCT ID NCT07624565

Not yet recruiting Diagnosis Sponsor: University of Alberta Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This pilot study will test whether an AI-assisted ultrasound device can help emergency doctors quickly detect heart failure in patients with symptoms. About 84 adults visiting the ER with signs of heart failure will be enrolled. The goal is to see if this approach is practical and speeds up diagnosis and care.

What this could mean

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

Active substance: AI-assisted point-of-care ultrasound device
What this could lead to: If successful, this could make heart failure diagnosis faster and more accessible in emergency rooms, reducing delays in treatment.
What could go wrong: This is a small pilot study (84 people) testing feasibility, not effectiveness. The AI tool may not work as well in real-world settings or for all patients.

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.

Emergencies heart failure

As listed by the trial registrant

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

HEART FAILURE

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Other studies related to the condition(s) this trial covers.