Artificial Intelligence and Interval Cancers in Screening Mammography.
Authors
Galvan JL,Nourmohammadi N,Milch HS,Yu TT
Affiliations (3)
Affiliations (3)
- University of California Los Angeles, David Geffen School of Medicine, Los Angeles, CA, USA.
- University of California Los Angeles Health Sciences, Department of Radiological Sciences, Los Angeles, CA, USA.
- Larkin Community Hospital, Department of Diagnostic Radiology, Miami, FL, USA.
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.
Topics
Journal Article