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Application of artificial intelligence in the diagnosis of scaphoid fractures: impact of automated detection of scaphoid fractures in a real-life study

Crossref DOI link: https://doi.org/10.1007/s11547-025-02028-5

Published Online: 2025-08-23

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Hernáiz Ferrer, Ana Isabel

Bortolotto, Chandra

Carone, Luisa

Preda, Emma Maria https://orcid.org/0009-0004-8624-6673
Fichera, Cristina

Lionetti, Alice

Gambini, Giulia

Fresi, Eleonora

Grassi, Federico Alberto

Preda, Lorenzo
Funding

Funding for this research was provided by:

Università degli Studi di Pavia
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Article History

Received: 22 October 2024

Accepted: 11 May 2025

First Online: 23 August 2025

Declarations

:

: The authors have no conflicts of interest to declare. There are no financial relationships with the companies that developed the AI software used in this study (Gleamer and Radiobotics).

: This study was approved by our Institutional Review Board and carried out in accordance with the ethical standards of the Helsinki Declaration.

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