Authors
Javier L Galvan, Niki Nourmohammadi, Hannah S Milch, Tiffany T Yu
Published in
Journal of breast imaging. Aug 18, 2026. Epub Aug 18, 2026.
Abstract
Interval breast cancers are diagnosed between screening rounds. Because they portend a worse diagnosis than screen-detected cancers, decreasing the interval cancer rate is a key measure of screening program effectiveness. Artificial intelligence (AI) tools for breast cancer detection are rapidly emerging with potential to provide earlier detection or even prediction of interval cancers. This article reviews the importance of interval cancers in screening mammography, current evidence for AI performance related to interval cancers, and considerations for interpreting the findings and implications of the current literature.
PMID:
42611507
Bibliographic data and abstract were imported from PubMed on 19 Aug 2026.
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