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Peer-Reviewed Publication
Nat Med2026;32(4):1296-1305.April 1, 2026Journal Article

AI-based triage and decision support in mammography and digital tomosynthesis for breast cancer screening: a paired, noninferiority trial.

Esperanza Elías-Cabot1,2,3, Sara Romero-Martín4,5,6, José Luis Raya-Povedano4,5,6, Alejandro Rodríguez-Ruiz7, Marina Álvarez-Benito4,5,6
1Maimónides Biomedical Research Institute of Córdoba (IMIBIC), Córdoba, Spain. eeliascabot@gmail.com.
2Breast Cancer Unit, Department of Diagnostic Radiology, Reina Sofía University Hospital, Córdoba, Spain. eeliascabot@gmail.com.
3University of Córdoba, Córdoba, Spain. eeliascabot@gmail.com.
4Maimónides Biomedical Research Institute of Córdoba (IMIBIC), Córdoba, Spain.
5Breast Cancer Unit, Department of Diagnostic Radiology, Reina Sofía University Hospital, Córdoba, Spain.
6University of Córdoba, Córdoba, Spain.
7ScreenPoint Medical BV, Nijmegen, The Netherlands.
PubMed PMC DOI PDF

Abstract

Artificial intelligence (AI) systems have been demonstrated to improve the accuracy of screening mammograms. Here this prospective, paired, noninferiority clinical trial evaluated whether AI could safely reduce workload by excluding low-risk exams from radiologist reading. Between March 2022 and January 2024, 31,301 women were included in the trial and underwent routine mammograms. Two reading str…

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