AI takes on sonographers: a 4,000-Patient trial to sharpen heart imaging
NCT ID NCT05791227
First seen Jul 22, 2026 · Last updated Jul 23, 2026 · Updated 1 time
Summary
This trial tests whether an artificial intelligence tool can improve the accuracy and speed of measuring heart wall thickness on echocardiograms compared to standard sonographer measurements. About 4,000 adults receiving a transthoracic echocardiogram will have their images assessed by both AI and a sonographer, with results checked against a cardiologist's final reading. The goal is to see if AI reduces measurement errors and saves time in diagnosing conditions like heart failure.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-guided echocardiogram measurement vs standard sonographer measurement
- What this could lead to
- If AI proves more accurate, it could speed up heart failure diagnosis and reduce measurement errors.
- What could go wrong
- The AI may not outperform trained sonographers in real-world settings, and the trial focuses only on one type of heart measurement.
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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Cedars-Sinai Medical Center
Los Angeles, California, 90048, United States
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