AI reads heart scans to catch hidden disease earlier

NCT ID NCT07308704

Recruiting now Diagnosis Sponsor: Mayo Clinic Source: ClinicalTrials.gov ↗

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

Summary

This study tests whether artificial intelligence can help doctors interpret echocardiograms (heart ultrasounds) more accurately and quickly. Researchers at Mayo Clinic will deploy AI algorithms to flag signs of genetic cardiomyopathy, ischemic heart disease, and cardiac amyloidosis. The goal is to see if AI use leads to more confirmed diagnoses and shorter time to diagnosis. Over 10 million participants are expected, making this a very large real-world evaluation.

What this could mean

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

Active substance: AI analysis of echocardiograms
What this could lead to: If successful, this could speed up diagnosis of serious heart conditions and help doctors catch diseases earlier.
What could go wrong: This is an early deployment study focused on usability and workflow, not a treatment trial. The AI may not improve diagnosis rates or could lead to unnecessary testing.

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.

Amyloid Neuropathies, Familial amyloidosis cardiomyopathy familial cardiomyopathy hypertrophic cardiomyopathy myocardial ischemia

As listed by the trial registrant

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

CARDIAC AMYLOIDOSIS CARDIOMYOPATHY ISCHEMIC HEART DISEASE

Contacts and locations

Locations

Mayo Clinic
RECRUITING

Rochester, Minnesota, 55905, United States

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