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Publication Name World Journal of Orthopedics
Manuscript ID 113710
Country United Kingdom
Category Orthopedics
Manuscript Type Retrospective Cohort Study
Article Title From subtle breaks to missed diagnoses: Real-world evaluation of an artificial intelligence fracture detection tool
Manuscript Source Invited Manuscript
All Author List Sari Wathiq Al Hajaj, Khaled Soliman, Mahira Zafar, Callum Garnham, Dawod Al Hajaj, Omar Elshafie, Ahmad Alsswah and Mohammed H Elwan
Funding Agency and Grant Number
Corresponding Author Sari Wathiq Al Hajaj, MD, Department of Trauma and Orthopaedics, Kettering General Hospital, NHS Foundation Trust, Kettering NN16 8UZ, Northamptonshire, United Kingdom. sarialhajaj95@gmail.com
Key Words Artificial intelligence; Fractures; Bone/diagnostic imaging; Radiography; Emergency service; Hospital; Diagnostic errors; Sensitivity and specificity; Retrospective studies; Humans
Core Tip Artificial intelligence (AI) is increasingly utilised in musculoskeletal imaging; however, its clinical utility in fracture detection remains a subject of debate. In this retrospective study aimed at assessing diagnostic accuracy, we evaluated an AI-based fracture detection system in comparison with radiologist reports across over 2000 limb radiographs. The AI demonstrated high accuracy but failed to identify approximately 10% of fractures, primarily subtle or minimally displaced injuries, and frequently overdiagnosed old or degenerative changes. False negatives posed a greater clinical risk than false positives, underscoring the importance of implementing AI as a triage and decision-support tool rather than a substitute for radiologists.
Citation Al Hajaj SW, Soliman K, Zafar M, Garnham C, Al Hajaj D, Elshafie O, Alsswah A, Elwan MH. From subtle breaks to missed diagnoses: Real-world evaluation of an artificial intelligence fracture detection tool. World J Orthop 2025; In press
Received
2025-09-01 05:27
Peer-Review Started
2025-09-01 05:27
First Decision by Editorial Office Director
2025-09-17 08:30
Return for Revision
2025-09-17 08:30
Revised
2025-10-02 00:09
Publication Fee Transferred
Second Decision by Editor
2026-01-14 02:35
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-01-14 09:59
Articles in Press
2026-01-14 09:59
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2218-5836 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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