Longitudinal Analysis of Changes in Deep Learning Image-based Breast Cancer Risk Scores over Time

Radiology 2026

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Authors: Constance Dobbins Lehman, Sarah Mercaldo, Shadi Azam, Rulla M. Tamimi, Andrew Carney, Sarah M. Friedewald, Leslie R. Lamb
DOI: 10.1148/radiol.253023
Cited by: 1
References: 16

Abstract

< .001). The findings were consistent across subgroups. Conclusion AI-based risk scores from screening mammograms evolved over time and diverged between women who did and did not develop breast cancer, supporting their potential as dynamic biomarkers for risk-adaptive screening and prevention strategies. © RSNA, 2026 See also the editorial by Mann and Wang in this issue.

Fields of Study & Subjects

AI in cancer detection Radiomics and Machine Learning in Medical Imaging Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Radiology
Publisher
Radiological Society of North America (RSNA)
Volume
319
Issue
3
Pages
e253023–e253023
Publication date
1 June 2026
Language
EN