DOI: 10.1148/radiol.243548 ISSN: 0033-8419
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. VisserIn this multinational and multireader study, a radiography-based artificial intelligence tool for fracture detection showed robust performance and conferred the greatest benefits to less experienced readers.