# Set each woman's mammogram interval from her last mammogram, using AI risk

Source: https://onco.cc/ideas/idea-prev-ai-mammogram-risk-intervals/  
OnCo record `idea-prev-ai-mammogram-risk-intervals` (Idea). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)"; commercial use needs a licence.

## TL;DR

Instead of every woman every two or three years, an AI reading of the current mammogram would set who comes back in one year and who can safely wait four.

## Summary

Image-based risk models (Mirai and commercial density-plus-AI scores) outperform Tyrer-Cuzick for five-year risk. MyPeBS and WISDOM test risk-based intervals using classical risk plus polygenic scores. Propose a national programme trial where the AI score on the index mammogram assigns one-, three-, or four-year recall, with interval cancer rate and advanced-cancer incidence as endpoints.

## Fields

- Kind: Idea
- Last checked: 2026-09-08
- Hypothesis: AI-image-based intervals reduce stage II+ cancer incidence by at least 15% at equal or lower total mammogram volume compared with fixed intervals.
- Rationale: Most interval cancers occur in a small high-risk stratum identifiable on the prior image; most low-risk women get no benefit from frequent recall.
- Proposed test: Cluster-randomised comparison within an existing programme (e.g. NHS Breast Screening Programme sites) of fixed versus AI-assigned intervals; five-year advanced-cancer endpoint.
- Maturity: early-clinical
- Actor: clinic

## Sources

- MyPeBS: https://www.mypebs.eu
- WISDOM study: https://www.wisdomstudy.org

## Connected records

- cancers: [HR-positive / HER2-negative breast cancer](https://onco.cc/cancers/breast-hr-positive/), [Triple-negative breast cancer (TNBC)](https://onco.cc/cancers/tnbc/)
- fronts: [Early Detection & Screening](https://onco.cc/fronts/early-detection/), [Imaging](https://onco.cc/fronts/imaging/)
- technologies: [AI in radiology](https://onco.cc/technologies/radiology-ai-screening/), [Mammography & tomosynthesis](https://onco.cc/technologies/mammography/)
- companies: [Lunit](https://onco.cc/companies/lunit/)
- bottlenecks: [Overdiagnosis and false alarms](https://onco.cc/bottlenecks/b-overdiagnosis/), [The hardest cancers are found late](https://onco.cc/bottlenecks/b-early-detection/)
- key papers: [MASAI: AI-supported mammography screening finds more cancers with half the radiologist workload](https://onco.cc/key-papers/paper-masai-lancet-oncol-2023/)

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