AI ECG could spot hidden heart rhythm risk before it strikes

NCT ID NCT07316231

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether an AI-enhanced 12-lead ECG can better identify people at risk for atrial fibrillation (AF), a major cause of stroke and heart failure. Researchers will enroll 350 adults with AF or atrial tachycardia who are in normal rhythm at the time of ECG recording. The AI analyzes the ECG to estimate hidden AF risk, and the team will track patients for 1-2 years to see if the AI's predictions match actual heart events.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance

AI-enhanced 12-lead ECG

What this could lead to

If successful, this AI tool could help doctors detect hidden atrial fibrillation earlier, potentially preventing strokes and heart failure.

What could go wrong

This is an observational registry, not a treatment trial. The AI's accuracy in real-world settings is still unproven, and results may not apply to all patients.

Disclaimer Read more

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.

atrial fibrillation atrial tachycardia

As listed by the trial registrant

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

Contacts and locations

Locations

  • Toho University

    RECRUITING

    Ōta-ku, Tokyo, 143-8540, Japan

    Contact Phone: •••-•••-•••• Email: •••••@•••••