Service and clinical impacts of reader bias in breast cancer screening: a retrospective study.

Objectives: To determine factors influencing reader agreement in breast screening and investigate the relationship between agreement level and patient outcomes.

Methods: Reader pair agreement for 83 265 sets of mammograms from the Scottish Breast Screening service (2015-2020) was evaluated using Cohen's kappa statistic. Each mammography examination was read by two readers, per routine screening practice, with the second initially blinded but able to choose to view the first reader's opinion.

Impact of Different Mammography Systems on Artificial Intelligence Performance in Breast Cancer Screening.

Artificial intelligence (AI) tools may assist breast screening mammography programs, but limited evidence supports their generalizability to new settings. This retrospective study used a 3-year dataset (April 1, 2016-March 31, 2019) from a U.K.