AI-Powered ultrasound could spot hidden heart valve disease in minutes
NCT ID NCT06717373
First seen Jul 14, 2026 · Last updated Jul 15, 2026 · Updated 1 time
Summary
This trial evaluates an artificial intelligence algorithm, AutoAS, that analyzes ultrasound images of the heart to detect aortic stenosis — a narrowing of the heart's main valve. Researchers will collect images from adults scheduled for a standard echocardiogram and test how well the AI identifies moderate or severe valve disease. If accurate, this approach could allow doctors to diagnose aortic stenosis quickly and easily at the point of care.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- an artificial intelligence algorithm called AutoAS that analyzes echocardiographic images to detect aortic stenosis
- What this could lead to
- If successful, this AI tool could help doctors quickly and accurately diagnose aortic stenosis at the bedside, potentially speeding up treatment decisions.
- What could go wrong
- This is a small, early-stage study testing the algorithm on stored images, not in real-time use. The AI may not perform as well in broader or more diverse patient groups.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Northwestern University
Chicago, Illinois, 60208, United States
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