Can an AI spot hidden heart disease that doctors miss?
NCT ID NCT05139797
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.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 300 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Nov 2021
- Expected to finish
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Jun 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients who have a high suspicion for cardiac amyloidosis by AI algorithm
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Patients who have a high suspicion for cardiac amyloidosis by AI algorithm Exclusion Criteria: * Patients who decline to be seen at specialty clinic * Patients who have passed away
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Cedars-Sinai Medical Centre (Los Angeles)
RECRUITINGLos Angeles, California, 90048, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can a single scan reveal hidden amyloid deposits across the body?
- Heart ultrasound may spot a rare heart disease earlier
- A sharper eye on amyloid: could quantitative scans revolutionize cardiac monitoring?
- Can a new PET tracer light up amyloid in the heart?
- Liver clues: a new way to stage heart amyloidosis?
- A carpal tunnel clue to a silent heart threat?