High risk score of breast cancer by artificial intelligence (AI) on screening mammograms: a review of negative and cancer cases

Marit A Martiniussen, Marie B Bergan, Merete U Kristiansen, Nataliia Moshina, Anne Sofie F Larsen, Marthe Larsen, Fredrik A Dahl, Solveig Hofvind · 2026

Read High risk score of breast cancer by artificial intelligence (AI) on screening mammograms: a review of negative and cancer cases by Marit A Martiniussen, Marie B Bergan, Merete U Kristiansen, Nataliia Moshina, Anne Sofie F Larsen, Marthe Larsen, Fredrik A Dahl, Solveig Hofvind (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13451454.txt.

Description

Marit A Martiniussen and seven co-authors review mammograms that artificial intelligence tools scored as high risk, in this 2026 study of the Norwegian screening program. Two AI models graded over 130,000 screening images from more than 42,000 women. The team wanted to know what the models were reacting to when they raised a flag.

Expert readers rechecked two samples: flagged images from women who stayed cancer free for six years, and flagged images that held screen detected cancers. In the cancer free sample, calcium specks alone were the most common flagged feature, and readers had judged most of them harmless. In the cancer sample, spiky masses led. Knowing what drives high scores could help set better thresholds and cut needless recalls.

Catalog record

CREATORMarit A Martiniussen, Marie B Bergan, Merete U Kristiansen, Nataliia Moshina, Anne Sofie F Larsen, Marthe Larsen, Fredrik A Dahl, Solveig Hofvind
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE31 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13451454

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