Artificial intelligence for bone fracture detection: A promising tool but no substitute for human expertise - 14/01/25
Doi : 10.1016/j.diii.2024.10.004
Daphné Guenoun a, b, Mickaël Tordjman c, d, ⁎ 
a Institute for Locomotion, Department of Radiology, APHM, Sainte-Marguerite Hospital, 13009 Marseille, France
b Aix Marseille Université, CNRS, ISM, Institute Movement Science, 13009 Marseille, France
c Université Paris Cité, Faculté de Médecine, 75006 Paris, France
d Department of Radiology, Hôpital Hôtel-Dieu, Assistance Publique-Hôpitaux de Paris, 75004 Paris, France
⁎Corresponding author.Department of RadiologyHôpital Hôtel DieuAssistance Publique-Hôpitaux de ParisParis75004France
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Keywords : Artificial intelligence, Bone fracture, Deep learning, Emergency radiology, Diagnostic errors
Abbreviations : AI, CT
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© 2024
Pubblicato da Elsevier Masson SAS.
Vol 106 - N° 1
P. 3-4 - gennaio 2025 Ritorno al numero
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