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Related Experiment Video

Updated: Jan 15, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Radiologist and AI Concordance in Screening Mammography and Association with Future Breast Cancer Risk.

Eun Young Kim1, Eun Kyung Park2,3, Mi-Ri Kwon4

  • 1Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Radiology. Artificial Intelligence
|October 15, 2025
PubMed
Summary

Screening mammography concordance between radiologists and artificial intelligence (AI) significantly impacts future breast cancer risk. Concordant-positive findings, where both AI and radiologists identify potential malignancy, indicate the highest risk, warranting further investigation.

Keywords:
Artificial IntelligenceBreast NeoplasmsConcordanceMammographyScreening

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Area of Science:

  • Radiology and Medical Imaging
  • Oncology and Cancer Research
  • Biomedical Data Science and Artificial Intelligence

Background:

  • Screening mammography is crucial for early breast cancer detection.
  • The role of artificial intelligence (AI) in mammography interpretation is evolving.
  • Understanding the concordance between AI and radiologists is key to optimizing screening outcomes.

Purpose of the Study:

  • To evaluate the association between radiologist and stand-alone AI concordance in screening mammography interpretations and future breast cancer risk.
  • To assess how breast density influences the relationship between AI-radiologist concordance and breast cancer risk.

Main Methods:

  • Retrospective study of Korean women undergoing digital screening mammography (2009-2018).
  • A commercial AI system analyzed mammograms, identifying potential malignancies with a 10% probability threshold.
  • Patients were categorized by AI-radiologist concordance; Cox proportional hazards models estimated adjusted hazard ratios.

Main Results:

  • Over 7.3 years, 1011 breast cancers occurred in 82,899 women.
  • The Concordant-Positive group (radiologist and AI agree on malignancy) showed the highest 5-year incidence (37.4 per 1000 person-years).
  • Concordant-Positive findings were associated with a 4.51-fold increased risk of breast cancer compared to Concordant-Negative.
  • In dense breasts, elevated risk was observed only with positive AI findings.

Conclusions:

  • Positive screening mammography findings by both radiologists and AI (Concordant-Positive) are linked to the highest future breast cancer incidence.
  • This high-risk group exceeds the 3% threshold, suggesting consideration for chemoprevention or supplemental imaging.
  • AI-radiologist concordance in mammography interpretation is a significant predictor of future breast cancer risk, influenced by breast density.