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Review
. 2025 Sep;50(8):1129-1133.
doi: 10.1177/17531934241312896. Epub 2025 Jan 23.

Artificial intelligence and machine learning capabilities in the detection of acute scaphoid fracture: a critical review

Robert Miller  1 , Laurence Jackson  2 , Dijana Vilic  2 , Louis Boyce  3 , Haris Shuaib  2
Affiliations
Review

Artificial intelligence and machine learning capabilities in the detection of acute scaphoid fracture: a critical review

Robert Miller et al. J Hand Surg Eur Vol. 2025 Sep.

Abstract

This paper discusses the current literature surrounding the potential use of artificial intelligence and machine learning models in the diagnosis of acute obvious and occult scaphoid fractures. Current studies have notable methodological flaws and are at high risk of bias, precluding meaningful comparisons with clinician performance (the current reference standard). Specific areas should be addressed in future studies to help advance the meaningful and clinical use of artificial intelligence for radiograph interpretation.

Keywords: Meta-analysis; machine learning; occult fracture; scaphoid fracture.

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References

    1. Backer HC, Wu CH, Strauch RJ. Systematic review of diagnosis of clinically suspected scaphoid fractures. J Wrist Surg. 2020, 9: 81–9. - PMC - PubMed
    1. Clementson M, Bjorkman A, Thomsen NOB. Acute scaphoid fractures: guidelines for diagnosis and treatment. EFORT Open Rev. 2020, 5: 96–103. - PMC - PubMed
    1. Dean BJF, on behalf of the S. s. g. The management of suspected scaphoid fractures in the UK: a national cross-sectional study. Bone Jt Open. 2021, 2: 997–1003. - PMC - PubMed
    1. Hendrix N, Hendrix W, van Dijke K, et al. Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist. Eur Radiol. 2023, 33: 1575–88. - PMC - PubMed
    1. Hendrix N, Scholten E, Vernhout B, et al. Development and validation of a convolutional neural network for automated detection of scaphoid fractures on conventional radiographs. Radiol Artif Intell. 2021, 3: e200260. - PMC - PubMed

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