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Can an AI spot hidden heart disease that doctors miss?

NCT ID NCT05139797

Recruiting now Diagnosis Sponsor: Cedars-Sinai Medical Center Source: ClinicalTrials.gov ↗

First seen Jul 22, 2026 · Last updated Jul 23, 2026 · Updated 1 time

Summary

This trial tests whether an artificial intelligence algorithm, called EchoNet-LVH, can help identify patients who may have cardiac amyloidosis — a rare but serious condition where abnormal protein builds up in the heart. The AI analyzes routine echocardiograms for subtle signs that might be overlooked. People flagged by the algorithm are referred to a specialty clinic for further evaluation. The goal is to see if AI-guided screening leads to more new diagnoses of this underrecognized disease.

What this could mean

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

Active substance
an AI algorithm called EchoNet-LVH that analyzes echocardiograms to flag signs of cardiac amyloidosis
What this could lead to
If successful, this AI tool could help doctors catch a rare but serious heart condition earlier, potentially improving treatment and outcomes.
What could go wrong
The trial is relatively small and only includes patients already flagged by the algorithm, so results may not apply to broader populations. The AI may also produce false alarms.

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

As listed by the trial registrant

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

CARDIAC AMYLOIDOSIS

Contacts and locations

Locations

  • Cedars-Sinai Medical Centre (Los Angeles)

    RECRUITING

    Los Angeles, California, 90048, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

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