Diagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis.
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| Title: | Diagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis. |
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| Authors: | Sharifi G; Skull base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hajibeygi R; Tehran University of Medical Sciences, School of Medicine, Tehran, Iran., Zamani SAM; Department of Neurosurgery, Iranian Hospital, Dubai, United Arab Emirates., Easa AM; Department of Radiology Technology, Collage of Health and Medical Technology, Al-Ayen Iraqi University, Thi-Qar, 64001, Iraq., Bahrami A; Kashan University of Medical Sciences, Kāshān, Iran., Eshraghi R; Kashan University of Medical Sciences, Kāshān, Iran., Moafi M; Cell Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Ebrahimi MJ; Cell Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Fathi M; Skull base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Mirjafari A; Department of Radiological Sciences, University of California, Los Angeles, CA, USA.; College of Osteopathic Medicine of The Pacific, Western University of Health Sciences, Pomona, CA, USA., Chan JS; Keck School of Medicine of USC, Los Angeles, CA, USA., Dixe de Oliveira Santo I; Department of Radiology and Biomedical Imaging, Yale School of Medicine, CT, USA., Anar MA; College of Medicine, University of Arizona, Tucson, AZ, USA., Rezaei O; Skull base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Tu LH; Department of Radiology and Biomedical Imaging, Yale School of Medicine, CT, USA. long.tu@yale.edu. |
| Source: | Emergency radiology [Emerg Radiol] 2025 Feb; Vol. 32 (1), pp. 97-111. Date of Electronic Publication: 2024 Dec 16. |
| Publication Type: | Journal Article; Systematic Review; Meta-Analysis |
| Journal Info: | Publisher: Springer-Verlag New York Inc Country of Publication: United States NLM ID: 9431227 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1438-1435 (Electronic) Linking ISSN: 10703004 NLM ISO Abbreviation: Emerg Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1438-1435 |
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| DOI: | 10.1007/s10140-024-02300-7 |
