Artificial intelligence for bone fracture detection: A promising tool but no substitute for human expertise

Diagn Interv Imaging. 2024 Oct 21:S2211-5684(24)00236-5. doi: 10.1016/j.diii.2024.10.004. Online ahead of print.

Authors

Daphné Guenoun¹, Mickaël Tordjman²

Affiliations

¹ Institute for Locomotion, Department of Radiology, APHM, Sainte-Marguerite Hospital, 13009 Marseille, France; Aix Marseille Université, CNRS, ISM, Institute Movement Science, 13009 Marseille, France.
² Université Paris Cité, Faculté de Médecine, 75006 Paris, France; Department of Radiology, Hôpital Hôtel-Dieu, Assistance Publique-Hôpitaux de Paris, 75004 Paris, France. Electronic address: [email protected].

PMID: 39438232
DOI: 10.1016/j.diii.2024.10.004

No abstract available

Keywords: Artificial intelligence; Bone fracture; Deep learning; Diagnostic errors; Emergency radiology.

Publication types

Editorial