Larsen, Marthe
Aglen, Camilla F.
Hoff, Solveig R.
Lund-Hanssen, Håkon
Hofvind, Solveig https://orcid.org/0000-0003-0178-8939
Funding for this research was provided by:
Pink Ribbon campaign
Article History
Received: 25 January 2022
Revised: 23 May 2022
Accepted: 25 May 2022
First Online: 15 June 2022
Declarations
:
: The scientific guarantor of this publication is Solveig Hofvind.
: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
: One of the authors has significant statistical expertise (Marthe Larsen). In addition, no complex statistical methods were necessary for this paper.
: Pursuant to section 35 of the Health Research Act, the Regional Committees for Medical and Health Research Ethics (REK) has granted the study an exemption from the requirement of consent, including exemption from the duty of confidentiality, for the use of de-identified data from BreastScreen Norway in retrospective analysis
: The study was approved by the Regional Committee for Medical and Health Research Ethics (REK, 13294).
: The same study sample with artificial intelligence results and screening information have been submitted to Radiology, but the research question differed (“Artificial intelligence for cancer detection in mammographic screening: retrospective evaluation of 122 969 screening examinations from a population-based screening program”, Larsen M, Aglen C et al, accepted in January 2022, <i>Radiology</i>, DOI: ). The main focus in the Radiology article was to describe the overall performance of the AI system without exploring possible ways to use AI as a support/replacement in mammography screening.
: • retrospective• registry study• multicenter study