AI predicts atrial fibrillation after stroke of unknown cause
Part of Brain & nervous system, Heart & circulation clinical trials.
This trial uses an artificial intelligence (AI) program to see if it can predict which patients who had a stroke from an unknown cause might develop atrial fibrillation (an irregular heart rhythm). If you have a small heart monitor already implanted, the AI will analyze your ECGs to find early signs of AFib, which could help prevent future strokes.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You are 30 years old or older.
- You have had a stroke from an unknown cause (called ESUS) and have a small heart monitor (ICM) implanted or will get one.
- You had a 12-lead EKG (heart tracing) done within 2 weeks before or after your ICM implant.
- Your heart rhythm is normal (sinus rhythm) when you start the study.
- You have never been diagnosed with atrial fibrillation (AFib) before.
- You agree to take part in the study and sign a consent form.
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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