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This study seeks to validate the real-world accuracy of an AI-based algorithm for identifying the location of an accessory pathway from the 12-lead electrocardiogram
Silent validation study of an AI-ECG (artificial intelligence applied to electrocardiography) accessory pathway localisation algorithm, applied to prospective and consecutive cases in clinical practice, to determine its true accuracy and performance. A pre-existing AI-ECG algorithm will be applied to participant ECG data, collected at the time of their clinical electrophysiology study (EPS) for ablation of their accessory pathway. This will be compared to the ground truth of the successful ablation location, determined by fluoroscopy and/or 3D electroanatomical mapping from their procedure.
Age
13 - 100 years
Sex
ALL
Healthy Volunteers
No
Imperial College Healthcare NHS Trust
London, United Kingdom
Start Date
August 1, 2025
Primary Completion Date
March 1, 2027
Completion Date
March 1, 2027
Last Updated
July 24, 2025
100
ESTIMATED participants
Lead Sponsor
Imperial College London
NCT07286591
NCT07254013
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