Artificial intelligence in emergency musculoskeletal imaging: A critical review of current applications.

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Bibliographic Details
Title: Artificial intelligence in emergency musculoskeletal imaging: A critical review of current applications.
Authors: Tsang B; Department of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, ON, K1Y 1J8, Canada. Electronic address: Brtsang@toh.ca., Gong B; Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, M5T 1W7, Canada; Department of Computer Science, University of Toronto, Toronto, ON, M5S 2E4, Canada., Probyn L; Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, M5T 1W7, Canada., Patlas MN; Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, M5T 1W7, Canada.
Source: Diagnostic and interventional imaging [Diagn Interv Imaging] 2026 Jul; Vol. 107 (7-8), pp. 247-255. Date of Electronic Publication: 2026 Feb 25.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Masson Country of Publication: France NLM ID: 101568499 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2211-5684 (Electronic) Linking ISSN: 22115684 NLM ISO Abbreviation: Diagn Interv Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2211-5684
DOI:10.1016/j.diii.2026.02.003