Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial

2026/01/01 by Jessie Gommers, Veronica Hernström, Viktoria Josefsson +9 · 1 voice
Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence in Healthcare and Education #Radiomics and Machine Learning in Medical Imaging

paper · doi:10.1016/s0140-6736(25)02464-x

crossref issued 2026/01/01 · crossref published 2026/01/01 · crossref published-print 2026/01/01 · openalex publication_date 2026/01/01 · crossref created 2026/01/29 · openalex created_date 2026/01/30 · crossref deposited 2026/02/05 · openalex updated_date 2026/07/31 · crossref indexed 2026/07/31

Citations

• Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis
• Nationwide real-world implementation of AI for cancer detection in population-based mammography screening

Discussions

• #BreastCancer #AI MASAI Sweden RCT (>100k): radiologist+AI vs 2 radiologists for screening mammography. AI led to 12% fewer cancers diagnosed in the next 2 years and 44% fewer reads, with fewer aggres [bsky, 0 points, 0 comments]