Multinational Validation of a Radiography-Based AI Tool for Appendicular Fracture Detection and Corresponding Reader Performance

Huibert C. Ruitenbeek, Mathias Willadsen Brejnebøl, Gozde Gunes, Bas J. van der Zwart, Marna G. Bouwhuis, Jessica D. Lantinga-van den Brink, Dimitar Ivanov Radev, Yahya Fekri Avval, Tazio Maleitzke, Kristine Ifigenia Bunyoz, Frederik Jager Bruun, Katharina Beller, Haoyin Cao, Luis A. Becker, Maximilian Muellner, Anders Lenskjold, Katharina Ziegeler, Dominik Deppe, Daniel Bos, Mikael Ploug Boesen, Kay-Geert A. Hermann, Edwin H. G. Oei, Jacob J. Visser

Open source

DOI: 10.1148/radiol.243548
Published: 2026-08-01
Container: Radiology
Publisher: Radiological Society of North America (RSNA)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1148/radiol.243548,
  title = {Multinational Validation of a Radiography-Based AI Tool for                     Appendicular Fracture Detection and Corresponding Reader                     Performance},
  author = {Huibert C. Ruitenbeek and Mathias Willadsen Brejnebøl and Gozde Gunes and Bas J. van der Zwart and Marna G. Bouwhuis and Jessica D. Lantinga-van den Brink and Dimitar Ivanov Radev and Yahya Fekri Avval and Tazio Maleitzke and Kristine Ifigenia Bunyoz and Frederik Jager Bruun and Katharina Beller and Haoyin Cao and Luis A. Becker and Maximilian Muellner and Anders Lenskjold and Katharina Ziegeler and Dominik Deppe and Daniel Bos and Mikael Ploug Boesen and Kay-Geert A. Hermann and Edwin H. G. Oei and Jacob J. Visser},
  year = {2026},
  journal = {Radiology},
  doi = {10.1148/radiol.243548},
  url = {https://doi.org/10.1148/radiol.243548}
}

RIS

TY  - JOUR
TI  - Multinational Validation of a Radiography-Based AI Tool for                     Appendicular Fracture Detection and Corresponding Reader                     Performance
AU  - Huibert C. Ruitenbeek
AU  - Mathias Willadsen Brejnebøl
AU  - Gozde Gunes
AU  - Bas J. van der Zwart
AU  - Marna G. Bouwhuis
AU  - Jessica D. Lantinga-van den Brink
AU  - Dimitar Ivanov Radev
AU  - Yahya Fekri Avval
AU  - Tazio Maleitzke
AU  - Kristine Ifigenia Bunyoz
AU  - Frederik Jager Bruun
AU  - Katharina Beller
AU  - Haoyin Cao
AU  - Luis A. Becker
AU  - Maximilian Muellner
AU  - Anders Lenskjold
AU  - Katharina Ziegeler
AU  - Dominik Deppe
AU  - Daniel Bos
AU  - Mikael Ploug Boesen
AU  - Kay-Geert A. Hermann
AU  - Edwin H. G. Oei
AU  - Jacob J. Visser
PY  - 2026
JO  - Radiology
DO  - 10.1148/radiol.243548
UR  - https://doi.org/10.1148/radiol.243548
ER  -

APA

Ruitenbeek, H. C., Brejnebøl, M. W., Gunes, G., Zwart, B. J. V. D., Bouwhuis, M. G., Brink, J. D. L. D., Radev, D. I., Avval, Y. F., Maleitzke, T., Bunyoz, K. I., Bruun, F. J., Beller, K., Cao, H., Becker, L. A., Muellner, M., Lenskjold, A., Ziegeler, K., Deppe, D., Bos, D., Boesen, M. P., Hermann, K. A., Oei, E. H. G., & Visser, J. J. (2026). Multinational Validation of a Radiography-Based AI Tool for Appendicular Fracture Detection and Corresponding Reader Performance. Radiology. https://doi.org/10.1148/radiol.243548

Source records

crossref · retrieved 2026-09-26T08:28:38.828Z