{"entity":{"id":"idea-prev-ai-mammogram-risk-intervals","kind":"idea","name":"Set each woman's mammogram interval from her last mammogram, using AI risk","aka":[],"tldr":"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.","asOf":"2026-09-08","links":[{"label":"MyPeBS","url":"https://www.mypebs.eu"},{"label":"WISDOM study","url":"https://www.wisdomstudy.org"}],"tags":[],"related":[],"cancers":["breast-hr-positive","tnbc"],"sections":["early-detection","imaging"],"technologies":["mammography","radiology-ai-screening"],"targets":[],"drugs":[],"companies":["lunit"],"institutions":[],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":["b-early-detection","b-overdiagnosis"],"keyPapers":[],"journals":[],"dependsOn":[],"notes":[],"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.","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","cost":"medium","horizonYears":6},"route":"/ideas/idea-prev-ai-mammogram-risk-intervals/","neighbours":{"cancer":[{"id":"breast-hr-positive","kind":"cancer","name":"HR-positive / HER2-negative breast cancer","route":"/cancers/breast-hr-positive/"},{"id":"tnbc","kind":"cancer","name":"Triple-negative breast cancer (TNBC)","route":"/cancers/tnbc/"}],"section":[{"id":"early-detection","kind":"section","name":"Early Detection & Screening","route":"/fronts/early-detection/"},{"id":"imaging","kind":"section","name":"Imaging","route":"/fronts/imaging/"}],"technology":[{"id":"radiology-ai-screening","kind":"technology","name":"AI in radiology","route":"/technologies/radiology-ai-screening/"},{"id":"mammography","kind":"technology","name":"Mammography & tomosynthesis","route":"/technologies/mammography/"}],"company":[{"id":"lunit","kind":"company","name":"Lunit","route":"/companies/lunit/"}],"bottleneck":[{"id":"b-overdiagnosis","kind":"bottleneck","name":"Overdiagnosis and false alarms","route":"/bottlenecks/b-overdiagnosis/"},{"id":"b-early-detection","kind":"bottleneck","name":"The hardest cancers are found late","route":"/bottlenecks/b-early-detection/"}],"paper":[{"id":"paper-masai-lancet-oncol-2023","kind":"paper","name":"MASAI: AI-supported mammography screening finds more cancers with half the radiologist workload","route":"/key-papers/paper-masai-lancet-oncol-2023/"}]}}