Manual versus Automatic Assessment of the QT-Interval and QTc.

Benjamin Neumann Arja Suzanne Vink Ben J M Hermans Krystien V V Lieve Didem CömertBritt-Maria BeckmannSally-Ann B Clur Nico A Blom Tammo Delhaas Arthur A M Wilde Stefan Kääb Pieter G Postema Moritz F Sinner

Published in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2023)

Pairwise vendor-provided automatic and manual QT-interval and QTc results can be highly discrepant. Novel automatic algorithms may improve agreement. Within the above ranges, automatic QT-interval and QTc results require manual confirmation, particularly if T-wave morphology is challenging.

Keyphrases

deep learning
machine learning
drug induced
neural network