Abstract
Korean national lung cancer screening program (KNLCS) targeting high-risk smoking population using low-dose CT (LDCT) was implemented in 2019. A cloud-based quality control system (CQCS) using computer aided detection program (CAD) was used to assist radiologists in detection, measurement and categorization of lung nodules in LDCT. From 2021, Artificial Intelligence (AI)-based CAD has been launched as a developed version of CQCS. This study aimed to evaluate the effectiveness of CQCS on positive rate and inter-observer variability in KNLCS on national level.
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