AI reads Single-Lead ECG to predict AFib with rapid heart rate within two hours
NCT ID NCT07722039
First seen Jul 23, 2026 · Last updated Jul 24, 2026 · Updated 1 time
Summary
This study tests whether an artificial intelligence software called SMD-RVECG can predict the risk of atrial fibrillation with rapid ventricular response (a fast, irregular heart rhythm) within the next two hours. Researchers will analyze 348 existing single-lead electrocardiogram recordings from a hospital database. The AI's predictions will be compared to a reference standard set by two doctors to see how accurate it is.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- an artificial intelligence software called SMD-RVECG that analyzes single-lead electrocardiogram data
- What this could lead to
- If it works, this AI could help doctors quickly identify patients at risk of a dangerous heart rhythm episode, enabling earlier intervention.
- What could go wrong
- This is a retrospective study using existing data, not a real-time test. The AI may not perform as well in live clinical settings or on different patient populations.
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.
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: •••••@•••••
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