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December 12, 2025Insights into ImagingOpen Access

Over-detection and over-surveillance in breast screening: current status and the potential for artificial intelligence optimisation

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Authors

SWSiyu WangNorth China Electric Power UniversityJLJingyan LiuHebei Agricultural UniversityLSLinlin SongPeking University

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Implication

This review reveals how AI improves cancer detection in breast screening, suggesting better risk stratification may reduce unnecessary biopsies.

Key Points

  • The central aim is to evaluate the impact of over-detection and over-surveillance in breast cancer screening and the role of AI in optimizing outcomes.
  • Review of evidence on breast screening technologies
  • Analysis of over-detection and over-surveillance
  • Evaluation of AI-assisted methods for cancer detection and follow-up
  • AI-assisted screening maintains or improves cancer detection rates
  • Reduces false-positive recalls and unnecessary biopsies
  • Improves risk stratification for BI-RADS 4 lesions

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/6941aae10f5af7fd17df5940https://doi.org/10.1186/s13244-025-02160-w
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  1. 1Cost-Effectiveness of AI for Risk-Stratified Breast Cancer Screening2024 · 59 citations
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  4. 4Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study2025 · 90 citations
  5. 5Best Practice Guidelines for Breast Imaging, Breast Imaging Society, India: Part-22022 · 1 citations