Cancer Registry of Norway

Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study

Kristina Lång, Viktoria Josefsson, Anna-Maria Larsson et al.

2023 · 445 Zit.

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

Kristina Lång, Solveig Hofvind, Alejandro Rodríguez‐Ruiz et al.

2021 · 94 Zit.

Remove obstacles to sharing health data with researchers outside of the European Union

Heidi Beate Bentzen, Rosa Castro, Robin Fears et al.

2021 · 67 Zit.

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

Marthe Larsen, Camilla F. Aglen, Solveig Roth Hoff et al.

2022 · 63 Zit.

Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review

A Anderson, M. Luke Marinovich, Nehmat Houssami et al.

2022 · 53 Zit.

Can I trust my fake data – A comprehensive quality assessment framework for synthetic tabular data in healthcare

Vibeke Binz Vallevik, Aleksandar Babić, Serena Marshall et al.

2024 · 43 Zit.

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding

Steven A. Hicks, Michael A. Riegler, Konstantin Pogorelov et al.

2018 · 26 Zit.

Norwegian radiologists’ expectations of artificial intelligence in mammographic screening – A cross-sectional survey

Marit Almenning Martiniussen, Marthe Larsen, Anne Sofie F. Larsen et al.

2023 · 7 Zit.

Challenges of Testing an Evolving Cancer Registration Support System in Practice

Christoph Laaber, Tao Yue, Shaukat Ali et al.

2023 · 5 Zit.

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

Jessie Gommers, Veronica Hernström, Viktoria Josefsson et al.

2026 · 4 Zit.

An economic scenario analysis of implementing artificial intelligence in BreastScreen Norway–Impact on radiologist person-years, costs and effects

Tron Anders Moger, Santiago Nardin, Åsne Sørlien Holen et al.

2025 · 2 Zit.

Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare

Vibeke Binz Vallevik, Aleksandar Babić, Serena Marshall et al.

2024 · 1 Zit.

Performance across different versions of an artificial intelligence model for screen-reading of mammograms

Marthe Larsen, Heather A. Carlos, Marie Burns Bergan et al.

2026 · 0 Zit.

Processing of synthetic data in AI development for healthcare and the definition of personal data in EU law

Vibeke Binz Vallevik, Anne Kjersti Befring, Severin Elvatun et al.

2026 · 0 Zit.

How much radiologist time can be saved by implementing AI in screen-reading mammograms?

Tone Hovda, A M Holen, Solveig Hofvind

2026 · 0 Zit.