AI reads ECGs to stop heart failure before it starts
NCT ID NCT07355023
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study uses artificial intelligence to analyze electrocardiograms (ECGs) and identify people at high risk for developing left ventricular dysfunction, a type of heart muscle weakness. Researchers will then see if giving standard heart medications—like ACE inhibitors, beta-blockers, and SGLT2 inhibitors—can lower that risk. The study involves 5,000 participants and uses existing medical records to simulate a clinical trial.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- guideline-directed medical therapies (ACE inhibitors, ARBs, beta-blockers, SGLT2 inhibitors)
- What this could lead to
- If successful, this could show that AI-powered ECG screening plus early medication can prevent heart failure in at-risk people.
- What could go wrong
- This is a retrospective study, not a randomized trial, so results may be less reliable. It also relies on existing medical records, which can have missing or inconsistent data.
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.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 5,000 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Jan 2026
An estimate. Start dates often move.
- Expected to finish
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Jan 2026
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.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
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: * With an ECG followed by an echocardiogram within a 90-day interval * With preserved left ventricular ejection fraction (LVEF ≥ 50%) Exclusion Criteria: * missing essential variables or ECG lead data * any prior LVEF \< 50% * loss to follow-up or death during the 90-day assessment window
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Get notified about this study
Sign up to get updates when this study changes or when new studies for Left ventricular (LV) systolic dysfunction are added.
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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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Tri-Service General Hospital
RECRUITINGTaipei, Taipei, 11490, Taiwan
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Other studies related to the condition(s) this trial covers.
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