AI in Breast Screening: Evidence, Uses, and What's Next

Artificial intelligence (AI) in breast imaging has moved beyond retrospective accuracy studies to prospective randomized controlled trials, with roles in cancer detection, risk prediction, workflow optimization, and supplemental imaging.

• Applications span cancer detection, risk prediction, workflow optimization, and supplemental imaging modalities.
• The review synthesizes evidence from 2023–2026, including landmark trial results, systematic reviews, and society recommendations.
• Intended for radiologists and trainees seeking a current overview of AI in breast cancer screening and imaging.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.