This retrospective cohort study included 1,027,430 screening examinations, including 5785 screen-detected cancers, performed in BreastScreen Norway, 2004-2021. All examinations were independently interpreted by two breast radiologists. The radiologists scored each breast from 1 to 5, where 1 indicated negative for abnormality; 2, probably benign; 3, intermediate suspicion; 4, probably malignant; 5, high suspicion of malignancy (1). All examinations were processed by the AI system Lunit INSIGHT MMG version 1.1.7.2, which provided a continuous malignancy score from 0 to 100, with higher scores indicating higher risk of breast cancer. Cancer cases (screen-detected and interval cancers) among the top 3%, 5% and 10% of examinations with the highest AI scores was presented for combinations of interpretation scores given by the two radiologists.