Peer Reviewed Publications

HW Koch, M Larsen, H Bartsch, KD Kurz, S Hofvind

European Radiology

Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations

M. Larsen, C.F. Aglen, S.R. Hoff, H. Lund-Hanssen, S. Hofvind

Radiology 2022

An AI-based Mammography Screening Protocol: Outcome and Radiologists Workload

Lauritzen A, Rodríguez-Ruiz von Euler-Chelpin MC, Lynge E, Vejborg I, Jensen AKG, Nielsen M, Karssemeijer N, Lillholm M

Radiology 2022

Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program

Larsen M, Flåt Aglen C, Lee C, Roth Hoff S, Lund-Hanssen H, Lång K, Nygård J, Ursin G, Hofvind S

Radiology

Interval Cancer Detection Using a Neural Network and Breast Density in Women with Negative Screening Mammograms

Wanders A, Mees W, Bun P, Janssen N, Rodríguez-Ruiz A, et al

Radiology

Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation

Romero-Martín S ,Elías-Cabot E, Luis Raya-Povedano J, Gubern-Mérida A, Rodríguez-Ruiz A, Álvarez-Benito M

European Radiology

Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance

Kerschke L, Weigel S, Rodriguez-Ruiz A, Karssemeijer N, Heindel W

Radiology

Impact of artificial intelligence decision support using deep learning on breast cancer screening interpretation with single-view wide-angle digital breast tomosynthesis

Pinto MC, Rodriguez-Ruiz A, Pedersen K, Hofvind S, Wicklein J, Kappler S, Mann RM, Sechopoulos I

European Radiology

Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

van Winkel, S.L., Rodríguez-Ruiz, A., Appelman, L. et al.

Radiology

AI-based strategies to reduce workload in breast cancer screening with digital mammography and digital breast tomosynthesis

José Luis Raya-Povedano et al

European Radiology

Can artificial intelligence reduce the interval cancer rate in mammography screening?

Lång K et al

European Radiology

Identifying normal mammograms in a large screening population using artificial intelligence

Lång, K., Dustler, M., Dahlblom, V. et al.

European Radiology

Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.

Rodriguez-Ruiz A., Lång K., Gubern-Merida A. et al.

Journal of the National Cancer Institute

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

Rodríguez-Ruiz A, Lång K, Gubern-Merida A et al.

Breast Cancer

Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women

Michiro Sasaki et al

Radiology

Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System