B-PO05-149 ASSESSMENT OF DRUG-INDUCED QT PROLONGATION USING AN AI-ECG ALGORITHM ON A MOBILE 6-LEAD ECG PLATFORM

The ability of an artificial intelligence (AI)/deep neural network (DNN)-derived algorithm to assess the QT interval has been trained, validated, and tested recently in a large cross-sectional population study. This AI/DNN-derived QTc has been tested prospectively in nearly 700 patients with possible congenital long QT syndrome (LQTS) using recordings obtained on a 6-lead (6L) mobile device. We sought to evaluate the ability of a mobile 6L...