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This paper is in the following e-collection/theme issue:

Machine Learning (2225) Clinical Information and Decision Making (2066) Imaging Informatics (328) Medical imaging (132) Computer-Aided Diagnosis (278)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77965, first published .
Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study

Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study

Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study

Authors of this article:

Shu-Tien Huang1, 2, 3 Author Orcid Image ;   Liong-Rung Liu1, 2, 3 Author Orcid Image ;   Ming-Feng Tsai2, 3, 4 Author Orcid Image ;   Ming-Yuan Huang1, 3 Author Orcid Image ;   Hung-Wen Chiu2, 5 Author Orcid Image
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Journals

  1. Aydın Ö, Tatlı M. From accuracy to impact: Bridging the methodological gap in artificial intelligence for emergency department care. The American Journal of Emergency Medicine 2026 View