AI-Powered ECG could spot silent heart failure in minutes
NCT ID NCT07636759
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 2 times
Summary
This study is testing a new artificial intelligence (AI) tool that analyzes electrocardiograms (ECGs) to find a condition called left ventricular systolic dysfunction (LVSD), a type of heart failure where the heart's main pumping chamber is weak. Researchers will enroll 15,000 adults who have had both an ECG and an echocardiogram (heart ultrasound) within 30 days. The goal is to see how well the AI can detect LVSD compared to the standard ultrasound test, potentially allowing for faster and easier diagnosis.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this AI could help doctors spot heart failure earlier using a simple, quick ECG, potentially saving lives.
What could go wrong
This is an observational study, not a treatment trial. The AI may not be accurate enough in real-world settings, and results may not apply to all patients.
Disclaimer
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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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Ajou University School of Medicine
RECRUITINGSuwon, Gyeonggi-do, 16499, South Korea
Contact Phone: •••-•••-•••• Email: •••••@•••••