AI-assisted diagnosis of fast heart rhythms from ECG
Part of Genetic & congenital, Heart & circulation clinical trials.
This study uses artificial intelligence to analyze ECG recordings and help identify the exact type and location of fast heart rhythms (tachycardia). It may improve the accuracy and speed of diagnosis for conditions like supraventricular tachycardia, Wolff-Parkinson-White syndrome, premature ventricular contractions, and ventricular tachycardia.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You are 19 years of age or older.
- You have been diagnosed with a fast heart rhythm (tachycardia), such as supraventricular tachycardia, Wolff-Parkinson-White syndrome, premature ventricular contractions, or ventricular tachycardia.
- You have undergone an electrophysiological study (EPS) and a catheter ablation (a procedure to treat abnormal heart rhythms).
- You have a 12-lead ECG record that can be extracted as a text file.
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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