Can a new AI predict atrial fibrillation from a single-lead ECG?
Part of Heart & circulation clinical trials.
This study uses a new AI tool to analyze single-lead ECG recordings and see if it can predict new atrial fibrillation episodes within the next 2 hours, even in people without a prior AF diagnosis. If your ECG data is available in the SNUH database and meets quality criteria, you may help validate this prediction method.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You had continuous single-lead ECG data collected at Seoul National University Hospital between September 2022 and September 2025.
- You were 19 years or older when your ECG was taken.
- Your ECG recording was at least 10 minutes long and free of significant signal loss or noise.
- Your heart rate during the ECG was between 30 and 300 beats per minute.
- You were not pregnant or breastfeeding when the ECG was recorded.
- Your ECG data has not been used before to train or test an artificial intelligence model for AF prediction.
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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