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Peer Reviewed Publications

Paper summaries

Accuracy.
Workload Reduction.
Risk.

European Radiology

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

Accuracy

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

Accuracy
Performance benchmarking

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

Accuracy
Performance benchmarking

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

Accuracy
Workload reduction

José Luis Raya-Povedano et al

European Radiology

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

Accuracy
Risk

Lång K et al

European Radiology

Identifying normal mammograms in a large screening population using artificial intelligence

Workload reduction

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.

Workload reduction

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

Performance benchmarking

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

Performance benchmarking

Michiro Sasaki et al

Radiology

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

Accuracy
Performance benchmarking

Rodríguez-Ruiz A, Krupinski E, Mordang J.J et al
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