We have read with interest the research paper entitled ‘Optimizing patient selection for primary prevention implantable cardioverter-defibrillator implantation: utilizing multimodal machine learning to assess risk of implantable cardioverter-defibrillator non-benefit’ by Kolk M.Z.H. et al.
1 The aim of the study was to predict the risk of non-arrhythmic death in patients with implantable cardioverter-defibrillator (ICD) implantation for primary prevention through serial 12-lead electrocardiogram recordings and clinical variables. Here, we would like to draw your attention to a few points of the study.