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.
Disclaimer
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This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Tri-Service General Hospital
RECRUITINGTaipei, Taipei, 11490, Taiwan
Contact Phone: •••-•••-•••• Email: •••••@•••••