# AI-assisted mammography screening

Source: https://onco.cc/technologies/ai-mammography-screening/  
OnCo record `ai-mammography-screening` (Technology). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)"; commercial use needs a licence.

## TL;DR

Software that reads screening mammograms alongside or before radiologists, catching more cancers and cutting the reading workload in large trials.

## Summary

Deep-learning readers for mammography have regulatory clearance in Europe and the United States and are being tested as a replacement for one of the two human readers used in European screening programmes. The Swedish MASAI randomised trial found AI-supported screening detected more cancers with a lower reading workload, and the Danish and German programmes have reported similar results in practice. Risk-prediction models from the same images are being studied to personalise screening intervals.

## Fields

- Kind: Technology
- Status: approved
- Last checked: 2026-09-04
- Principle: Convolutional networks trained on millions of mammograms produce a suspicion score per breast; low-scoring exams go to single reading and high-scoring ones are flagged for human review or recall.
- Strengths: Higher cancer detection in randomised and real-world studies; Large reduction in radiologist workload; Consistent performance across sites
- Limitations: Long-term effect on interval cancers and mortality still being measured; Regulatory and liability frameworks vary; Risk of over-detection needs monitoring

## Sources

- Wikipedia: https://en.wikipedia.org/wiki/Mammography
- Wikipedia: https://en.wikipedia.org/wiki/Mammography

## Connected records

- cancers: [HER2-positive breast cancer](https://onco.cc/cancers/breast-her2-positive/), [HR-positive / HER2-negative breast cancer](https://onco.cc/cancers/breast-hr-positive/), [Triple-negative breast cancer (TNBC)](https://onco.cc/cancers/tnbc/)
- fronts: [AI & Computation](https://onco.cc/fronts/ai-computation/), [Early Detection & Screening](https://onco.cc/fronts/early-detection/)
- technologies: [Dermoscopy, total-body photography & AI skin analysis](https://onco.cc/technologies/dermoscopy-ai/)

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