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Table 3 Performance comparison DL model versus cardiologist on LQTS 1 and 2

From: A deep learning approach identifies new ECG features in congenital long QT syndrome

Training Type External validation (Leuven data)
Sensitivity ± SD Specificity ± SD AUC ± SD
All ECG approach (Amsterdam data) LQTS1 89 ± 4% 97 ± 3% 0.93 ± 0.02
LQTS2 91 ± 3% 87 ± 2% 0.89 ± 0.02
Expert cardiologist in LQTS LQTS1 93% 90% 0.90
LQTS2 90% 80% 0.85
  1. A subset of 30 LQTS1, 30 LQTS2, and 300 controls (150 X 2) from the Leuven dataset was selected and used to validate our DL models, which were trained on the Amsterdam data using all acquired 12-lead ECGs (i.e., ALL ECG approach) per patient (top). The mean and standard deviation (SD) of the collected metrics is reported. The same subset was evaluated by an expert cardiologist in LQTS (bottom)