Martiniussen, Marit A.
Bergan, Marie B.
Kristiansen, Merete U.
Moshina, Nataliia
Larsen, Anne Sofie F.
Larsen, Marthe
Dahl, Fredrik A.
Hofvind, Solveig https://orcid.org/0000-0003-0178-8939
Funding for this research was provided by:
Helse Sør-Øst RHF (2021001)
Sykehuset Østfold (AB3532)
Article History
Received: 11 December 2025
Revised: 22 March 2026
Accepted: 7 April 2026
First Online: 6 May 2026
Compliance with ethical standards
Guarantor: The scientific guarantor of this publication is Solveig Hofvind.
Conflict of interest: The Cancer Registry has a research agreement with Lunit Inc. for the use of their AI software. None of the authors were employees of or consultants for Lunit, which had no access to the data and were not involved in any part of the study. One author is an employee of the Norwegian Computing Center (NCC), but did not have an impact on the study sample. The remaining authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Statistics and biometry: Two of the authors have significant statistical expertise (M.B.B. and M.L.).
Informed consent: The data was disclosed with legal basis in the Personal Health Data Filing system Act Section 19a-h [ ] and the Cancer Registry Regulation Sections 3–1 [ ].
Ethical approval: This study was approved by the Regional Committees for Medical and Health Research Ethics (#13294, #11022).
Study subjects or cohorts overlap: The study population of 130,031 screening examinations performed in Østfold as part of BreastScreen Norway, 2008–2018, overlaps with a study published in Radiology: Artificial Intelligence (Martiniussen et al [ ]) that explored overall performance of the same two AI models as used in the current study (Lunit INSIGHT MMG version 1.1.7.2 and an in-house model from the Norwegian Computing Center and the Cancer Registry of Norway). No analysis overlapped.
Methodology: