AI-ECG Accessory Pathway Localisation Study

Launched by IMPERIAL COLLEGE LONDON · Jul 21, 2025

Keywords

ClinConnect Summary

This clinical trial is studying a new computer program that uses artificial intelligence (AI) to help doctors find the exact location of an extra electrical pathway in the heart, called an accessory pathway. This extra pathway can cause abnormal heart rhythms, and the program looks at a common heart test called a 12-lead ECG to make its prediction. The goal is to see how accurate this AI tool is when used in real-life medical settings.

People who might join this study are those who have an extra heart pathway shown on their ECG and are scheduled for a procedure called an electrophysiology study (EPS) to investigate or treat it. Participants need to be between 13 and 100 years old, able to understand the study, and give their consent. If someone already knows the location of their accessory pathway from a previous test, they cannot join. If you take part, the study will use your ECG results and compare them to the AI program’s prediction during your usual medical care, with no extra procedures required. This study is not yet enrolling participants but aims to make heart rhythm treatments safer and more precise in the future.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Referred for EPS procedure as part of their clinical care, with a finding of pre-excitation on their ECG
• • Manifest pre-excitation on their ECG any time prior to their procedure
• • Able to give consent
• • Minimum age 13 years old
• • Maximum age 100 years old
• Exclusion Criteria:
• • Unable to give consent
• • Adults \> 100 years old
• • Children \< 13 years old
• • Patients with known location of their accessory pathway from a previous EP study