Peer-Reviewed Publication
BMJ Health Care Inform2025;32(1)May 14, 2025Journal Article
Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) study.
Cary J G Oberije1, Rachel Currie2, Alice Leaver3, Alan Redman3, William Teh4, Nisha Sharma5, Georgia Fox1, Ben Glocker6,7, Galvin Khara1, Jonathan Nash1, Annie Y Ng8, Peter D Kecskemethy7
1Kheiron Medical Technologies Limited, London, Greater London, UK.
2Breast Screening Programme, Royal Devon and Exeter NHS Foundation Trust, Exeter, Devon, UK.
3Breast Screening Unit, Gateshead Health NHS Foundation Trust, Gateshead, Gateshead, UK.
4Breast Screening Programme, Royal Free London NHS Foundation Trust, London, UK.
5Breast Screening Programme, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
6Department of Computing, Imperial College London, London, UK.
7DeepHealth, Somerville, MA, USA.
8DeepHealth, Somerville, MA, USA annie.ng@deephealth.com.
Abstract
OBJECTIVES: Evaluate an Artificial Intelligence (AI) system in breast screening through stratified results across age, breast density, ethnicity and screening centres, from different UK regions.
METHODS: A large-scale retrospective study evaluating two variations of using AI as an independent second reader in double reading was executed. Stratifications were conducted for clinical and operational…
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