How should artificial intelligence be used in breast screening? Women’s reasoning about workflow options by Diana Popic, M. Luke Marinovich, Nehmat Houssami, Julie Hall, Stacy M. Carter

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General practitioners’ (GPs) understanding and views on breast density in Australia: a qualitative interview study by Brooke Nickel, Nehmat Houssami, Jolyn Hersch, Stacy Carter, Meagan Brennan, Hankiz Dolan, Alia Kaderbhai

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Women’s conceptual knowledge about breast cancer screening and overdiagnosis in Norway: a cross-sectional study by Nehmat Houssami, Solveig Hofvind, Marit B Veierød, Kaitlyn M Tsuruda, Gunvor G Waade, Gunhild Mangerud

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Diagnostic performance of digital breast tomosynthesis (DBT) versus digital mammography (DM) in a population clinically referred for breast imaging – a retrospective cohort study by Naomi Noguchi, Farzaneh Boroumand, Katy Bell, Margaret Pooley, Aileen Zeng, Lauren Arnold, Armando Teixeira-Pinto, Nehmat Houssami

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Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection by M Luke Marinovich, Gavin F Pereira, Nehmat Houssami, Elizabeth Wylie, Sophia Zackrisson, Stacy M Carter, Meagan Brennan, Alison Pearce, William Lotter, Helen Lund, Andrew Waddell, Jiye G Kim, Christoph I Lee

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