AI-Powered ECG could spot silent heart failure in minutes

NCT ID NCT07636759

Recruiting now Diagnosis Sponsor: Ajou University School of Medicine Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Aug 07, 2026 · Updated 3 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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

heart failure

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HF - HEART FAILURE

Contacts and locations

Locations

Ajou University School of Medicine
RECRUITING

Suwon, Gyeonggi-do, 16499, South Korea

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