Radiologist and AI Concordance in Screening Mammography and Association with Future Breast Cancer Risk

2025/10/15 by Eun Young Kim, Eun Kyung Park, Mi-ri Kwon +16 · 1 voice
Computer Science · Medicine · #AI in cancer detection #Global Cancer Incidence and Screening #Radiomics and Machine Learning in Medical Imaging

paper · doi:10.1148/ryai.240804

openalex publication_date 2025/10/15 · openalex created_date 2025/10/16 · openalex updated_date 2026/08/01

Abstract

Positive mammography findings identified by both radiologists and artificial intelligence were associated with the highest 5-year breast cancer incidence, supporting their potential value for long-term risk stratification beyond the initial screening period.

Citations

• National Performance Benchmarks for Modern Screening Digital Mammography: Update from the Breast Cancer Surveillance Consortium
• International evaluation of an AI system for breast cancer screening
• Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis
• External Testing of a Commercial AI Algorithm for Breast Cancer Detection at Screening Mammography

Discussions

• Odds ratios of 5-year breast cancer incidence in women with and without dense breasts depend on standalone AI and radiologist concordance https://doi.org/10.1148/ryai.240804 #BreastCancer #DeepLearni [bsky, 4 points, 0 comments]

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