Peer Reviewed Publications

Paper summaries

Accuracy.
Workload Reduction.
Risk.

European Radiology

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

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: a retrospective evaluation of data collected from the Tomosynthesis Cordoba Screening Trial

Workload reduction

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

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.

Radiology

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

Performance benchmarking

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