Journal of electrocardiology
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Comparative Study
A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation.
Cardiologs® has developed the first electrocardiogram (ECG) algorithm that uses a deep neural network (DNN) for full 12‑lead ECG analysis, including rhythm, QRS and ST-T-U waves. We compared the accuracy of the first version of Cardiologs® DNN algorithm to the Mortara/Veritas® conventional algorithm in emergency department (ED) ECGs. ⋯ Cardiologs' DNN was more accurate and specific in identifying ECGs with at least one major abnormal group. It had a significantly higher rate of accurate ECG interpretation, with similar sensitivity and higher PPV.
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The role of left AV nodal (SVN) connections in the genesis of "left-variant" atypical atrioventricular nodal reentrant tachycardia (AVNRT) and those with multiple retrograde pathways remain unclear. We describe an unusual case of "left-variant" atypical AVNRT, where change in the retrograde earliest atrial activation site (REAAS) at the coronary sinus (CS) following radiofrequency catheter ablation (RFCA) was observed. Our observation suggests that the REAAS, that is, the left AVN connections, could participate in the formation of the reentrant circuit of "left-variant" atypical AVNRT. Furthermore, its atrial breakthroughs involved as a circuit of SVT could be (functionally) multiple.