NCT07083791

AI-ECG Accessory Pathway Localisation Study

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 100 (estimated)
• Sponsor: Imperial College London · Academic / Other
• Sex: All
• Age: 13 Years – 100 Years
• Healthy volunteers: Not accepted

Summary

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

Detailed description

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.

Conditions

• Accessory Pathway
• Artifical Intelligence
• ECG

Timeline

• Start date: 2025-08-01
• Primary completion: 2027-03-01
• Completion: 2027-03-01
• First posted: 2025-07-24
• Last updated: 2025-07-24

Locations

1 site across 1 country: United Kingdom