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.
Study Type
OBSERVATIONAL
Enrollment
100
Imperial College Healthcare NHS Trust
London, United Kingdom
Performance and accuracy of the AI-ECG accessory pathway localisation algorithm
Performance metrics of the AI-ECG accessory pathway localisation algorithm, including accuracy, F1-score, sensitivity, specificity, positive and negative predictive values. Benchmarked against the ground truth of human operator assessment from fluoroscopy and/or 3D electroanatomical mapping.
Time frame: At completion of recruitment, anticipated at 18 months
Relative performance of the AI-ECG algorithm compared to human estimation
Difference in performance/accuracy between the AI-ECG accessory pathway localisation algorithm and human estimation from the 12-lead ECG
Time frame: At completion of recruitment, anticipated at 18 months
Relative performance of the AI-ECG algorithm compared to manual localisation algorithms
Difference in performance/accuracy between the AI algorithm and pre-specified, established manual localisation algorithms (Arruda, Milstein, Pambrun, Boersma, D'Avila and Chiang)
Time frame: At completion of recruitment, anticipated at 18 months
Accuracy of the ground truth locations from the human operator compared to the successful ablation location
The ground truth of successful ablation location determined by operator assessment of fluoroscopy ± 3D mapping will be compared to the true ablation location on a complete 3D electroanatomical annular map
Time frame: At completion of recruitment, anticipated at 18 months
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