Deep learning classification models demonstrate high accuracy and clinical potential in radiograph interpretation in the arthroplasty clinical pathway: A systematic review and meta-analysis.
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| Title: | Deep learning classification models demonstrate high accuracy and clinical potential in radiograph interpretation in the arthroplasty clinical pathway: A systematic review and meta-analysis. |
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| Authors: | Musbahi O; Imperial College London, MSk Lab London UK.; Imperial College London School of Public Health London UK., Ahmed A; Imperial College London, MSk Lab London UK., Hall T; Department of Mechanical Engineering Imperial College London London UK., Kutyla K; Imperial College London, MSk Lab London UK., Sadiq M; Imperial College London, MSk Lab London UK., Cobb J; Imperial College London, MSk Lab London UK., Bottle A; Imperial College London School of Public Health London UK., Van Arkel R; Imperial College London, MSk Lab London UK.; Department of Mechanical Engineering Imperial College London London UK., Jones G; Imperial College London, MSk Lab London UK. |
| Source: | Journal of experimental orthopaedics [J Exp Orthop] 2025 Jul 13; Vol. 12 (3), pp. e70342. Date of Electronic Publication: 2025 Jul 13 (Print Publication: 2025). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 101653750 Publication Model: eCollection Cited Medium: Print ISSN: 2197-1153 (Print) Linking ISSN: 21971153 NLM ISO Abbreviation: J Exp Orthop Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2197-1153 |
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| DOI: | 10.1002/jeo2.70342 |
