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.
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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, 90034, United States
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Northwestern Medicine
Chicago, Illinois, 60190, United States
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Palo Alto Veteran Affairs Hospital
Palo Alto, California, 94304, United States
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Providence Heart and Vascular Institute
Portland, Oregon, 97225, United States
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