AI-ECG Accessory Pathway Localisation Study
NCT07083791 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2025-07-24
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
Conditions
- Accessory Pathway
- Artifical Intelligence
- ECG
Sponsors & Collaborators
-
Imperial College London
lead OTHER
Principal Investigators
-
Ahran Arnold, PhD · Imperial College London
Eligibility
- Min Age
- 13 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-08-01
- Primary Completion
- 2027-03-01
- Completion
- 2027-03-01
Countries
- United Kingdom
Study Locations
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