AI eye on the heart: could a computer catch a rare, Often-Missed disease?

NCT ID NCT06664866

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

Summary

This trial tests whether an artificial intelligence tool called EchoNet-LVH can help screen for cardiac amyloidosis, a rare but serious heart condition that is often misdiagnosed. The AI analyzes routine echocardiograms to flag suspicious patterns that might indicate the disease. Researchers will check how often these AI-flagged cases are later confirmed by standard clinical testing, comparing the AI's accuracy to usual 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 AI algorithm (EchoNet-LVH) that analyzes echocardiograms to flag suspicious signs of cardiac hypertrophy
What this could lead to
If successful, this AI screening tool could help detect cardiac amyloidosis earlier, allowing patients to start targeted therapies sooner and potentially improve outcomes.
What could go wrong
The trial is relatively small (500 participants) and focuses on positive predictive value, not long-term patient outcomes. The AI may flag many false positives or miss cases, and results may not generalize to all populations.

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.

Contacts and locations

Locations

  • Cedars Sinai Medical Center

    Los Angeles, California, 90034, United States

  • Northwestern Medicine

    Chicago, Illinois, 60190, United States

  • Palo Alto Veteran Affairs Hospital

    Palo Alto, California, 94304, United States

  • Providence Heart and Vascular Institute

    Portland, Oregon, 97225, United States

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