Retrospective evaluation of interval breast cancer screening mammograms by radiologists and AI
Question AI presents a promising opportunity to enhance breast cancer screening in general, but evidence is missing regarding its ability to reduce interval breast cancers. Findings The AI system detected a high risk of breast cancer in most interval breast cancer screening mammograms where radiologists retrospectively detected abnormalities. Clinical relevance Utilization of an AI system in mammography screening programs can identify breast cancer risk in many interval breast cancer screening mammograms and thus potentially reduce the number of interval breast cancers.
Authors
- Justus Vogel (ORCID: https://orcid.org/0000-0002-2605-8994)
- Axel Gräwingholt (ORCID: https://orcid.org/0000-0003-4778-8731)
- David Kuklinski (ORCID: https://orcid.org/0000-0002-7092-7480)
- Alexander Geißler (ORCID: https://orcid.org/0000-0002-7445-2929)
- Jonas Subelack (ORCID: https://orcid.org/0009-0007-4698-8877)
- Marcel Blum (ORCID: https://orcid.org/0009-0008-9243-3896)
- Rudolf Morant
Institutions
- University of St.Gallen (CH)
- Paderborn University (DE)
- Swiss Cancer League (CH)
- University of Applied Sciences St. Gallen (CH)
Publication Details
- Journal
- European Radiology
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1007/s00330-025-11833-5
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 0.00