Highlights ■ The artificial intelligence tool demonstrated high sensitivity (92.5%) and a negative predictive value of 97.8%. This effectively excluded examinations that were not clinically significant. ■ However, its low specificity (78.5%) and positive predictive value (50%) emphasize the importance of radiologist’s supervision. ■ – artificial intelligence missed 4.7% of nodules measuring >6mm, most of which were subsolid (62%). ■ The tool has the potential to improve workflows in lung cancer screening programs. ABSTRACT Objective: We aimed to investigate the […]