AI ECG could catch silent heart rhythm problem before it strikes
NCT ID NCT07316231
First seen Jan 08, 2026 · Last updated Apr 25, 2026 · Updated 19 times
Summary
This study is testing a new AI-enhanced 12-lead ECG that can estimate the risk of hidden atrial fibrillation (AF) from a normal heart rhythm recording. AF is a major cause of stroke and heart failure, but it often goes undetected. Researchers will enroll 350 adults with AF or related conditions to see how well the AI tool predicts future heart problems over 1-2 years. The goal is to help doctors start treatment earlier and prevent serious complications.
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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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Locations
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Toho University
RECRUITINGŌta-ku, Tokyo, 143-8540, Japan
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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