Correlation analysis of deep learning methods in S-ICD screening.
Mohamed ElRefaiMohamed AbouelasaadBenedict M WilesAnthony J DunnStefano ConiglioAlain B ZemkohoJohn MorganPaul R RobertsPublished in: Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc (2023)
Deep learning methods could provide a practical software solution to analyze data acquired for longer durations than current S-ICD screening practices. This could help select patients better suited for S-ICD therapy as well as guide vector selection in S-ICD eligible patients. Further work is needed before this could be translated into clinical practice.