Pre-implant predictors of inappropriate shocks with the third-generation subcutaneous implantable cardioverter defibrillator.

Mouna Ben KilaniPeggy JaconNicolas BadencoChristelle MarquiePierre Ollitrault Nathalie BeharPierre KhattarAdrien Carabelli Sandrine Venier Giovanni Rovaris

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 (2022)

Automatic pre-implant screening data are a useful quantitative predictor of inappropriate shocks. Electrocardiogram features should be taken into consideration along with other clinical factors to identify patients at high risk of inappropriate shocks.

Keyphrases

soft tissue
electronic health record
machine learning
deep learning
high resolution
big data
mass spectrometry
artificial intelligence