Can an AI spot a heart rhythm disorder two hours before it happens?
NCT ID NCT07722078
First seen Jul 23, 2026 · Last updated Jul 24, 2026 · Updated 1 time
Summary
This study tests whether an artificial intelligence software, SMD-AFECG, can predict the risk of atrial fibrillation (AF) within the next two hours using data from a single-lead electrocardiogram (ECG). Researchers will analyze nearly 800 ECG recordings from a hospital database, comparing the AI's predictions against expert review. The goal is to see if the software can reliably detect both first-time and repeat AF episodes, potentially enabling earlier warning and treatment.
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-AFECG that analyzes single-lead electrocardiogram data
- What this could lead to
- If accurate, this AI could help doctors quickly identify patients at risk of atrial fibrillation, enabling earlier intervention and potentially preventing strokes.
- What could go wrong
- This is a retrospective study using existing data, not a real-time test. The AI's performance in a live clinical setting may differ, and false alarms or missed cases remain possible.
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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