AI takes on heart scans: could it speed up diagnoses?
NCT ID NCT07229300
First seen Jun 27, 2026 · Last updated Aug 07, 2026 · Updated 2 times
Summary
This study compares three ways of interpreting echocardiograms (heart ultrasounds): one where AI pre-reads the images, one where a sonographer pre-reads them, and one where cardiologists do all the work. The goal is to see if the AI-assisted method is just as accurate but faster and more consistent. About 1,200 adults with existing heart ultrasound images will take part. The results could help decide if AI should be used routinely to help doctors interpret these tests.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI software for echocardiogram interpretation
- What this could lead to
- If successful, this could show that AI-assisted reading of heart ultrasounds is as accurate as current methods, potentially saving cardiologist time and reducing variability in reports.
- What could go wrong
- This is an early-stage, non-treatment trial focused on workflow efficiency, not patient outcomes. The AI may not prove superior or could introduce errors in certain cases.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Kaiser Permanente Northern California Division of Research
Pleasanton, California, 94588, United States
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