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Evaluating the Role of Artificial Intelligence as a Secondary Reader in Breast Screening: Insights and Arbitration Considerations

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Impact of using artificial intelligence as a second reader in breast screening including arbitration

The Artificial Intelligence in Mammography Screening (AIMS) study, approved by the East Midlands Nottingham Research Ethics Committee and NHS England, aims to enhance breast cancer detection through AI. Funded by the National Institute for Health and Care Research (NIHR), the study analyzed mammography images from 50,000 women across two NHS Breast Screening Programme centers, assessing an AI tool developed by Google. The AI system determines mammogram results while marking suspicious regions of interest (ROIs). Rigorous case selection ensured high-quality ground truth data. The reader study compared the recall rate decisions of human radiologists with those influenced by AI, following structured arbitration protocols. The study also evaluated reader experiences and AI reliability, with robust statistical analyses to verify noninferiority in sensitivity and specificity. This comprehensive investigation contributes to the future of AI integration in breast screening, promising enhanced accuracy in early cancer detection.

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