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03/10/26

Impact of using artificial intelligence as a second reader in breast screening including arbitration.

Warren, Lucy M; Venton, Jenny; Young, Kenneth C; Halling-Brown, Mark; Kelly, Christopher J; Wilson, Marc; Morigami, Megumi; Khoo, Lisanne; Cunningham, Deborah; Sidebottom, Richard; Reddy, Mamatha; Purushothaman, Hema; Khodabakhshi, Delara; Honeyfield, Lesley; Hujan, Amandeep; Stoycheva, Tsvetina; Joiner, Andy; Chopra, Reena; Sy, Aminata; Ward, Dominic; Yang, Lin; Sayres, Rory; Golden, Daniel; Malhotra, Namrata; Mallya, Rachita; Xi, Lihong; Ogunleye, Della; Purdy, Charlotte; Mackenzie, Alistair; Thomas, Susan; Shetty, Shravya; Gilbert, Fiona J; Darzi, Ara; Ashrafian, Hutan. Nat. Cancer

Collection Topics
AI and Diagnosis Big Three Conditions Culture, Work System, and Implementation Tests, Screening, and Laboratory Processes
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Summary

Artificial intelligence may help address workforce pressures in breast cancer screening by supporting mammography interpretation and review. In this retrospective study of 50,000 women from two NHS screening centers, researchers evaluated AI as a replacement for one radiologist in a standard double-reading workflow, including specialist arbitration. AI-assisted screening was noninferior to the traditional approach while reducing overall reading workload, suggesting a potential path to maintaining screening quality with greater efficiency.
Read the paper
Warren LM, Venton J, Young KC, et al. Impact of using artificial intelligence as a second reader in breast screening including arbitration. Nat Cancer. 2026;7(3):507-521.