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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40655254 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep learning classification models demonstrate high accuracy and clinical potential in radiograph interpretation in the arthroplasty clinical pathway: A systematic review and meta-analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Musbahi+O%22">Musbahi O</searchLink>; Imperial College London, MSk Lab London UK.; Imperial College London School of Public Health London UK.<br /><searchLink fieldCode="AU" term="%22Ahmed+A%22">Ahmed A</searchLink>; Imperial College London, MSk Lab London UK.<br /><searchLink fieldCode="AU" term="%22Hall+T%22">Hall T</searchLink>; Department of Mechanical Engineering Imperial College London London UK.<br /><searchLink fieldCode="AU" term="%22Kutyla+K%22">Kutyla K</searchLink>; Imperial College London, MSk Lab London UK.<br /><searchLink fieldCode="AU" term="%22Sadiq+M%22">Sadiq M</searchLink>; Imperial College London, MSk Lab London UK.<br /><searchLink fieldCode="AU" term="%22Cobb+J%22">Cobb J</searchLink>; Imperial College London, MSk Lab London UK.<br /><searchLink fieldCode="AU" term="%22Bottle+A%22">Bottle A</searchLink>; Imperial College London School of Public Health London UK.<br /><searchLink fieldCode="AU" term="%22Van+Arkel+R%22">Van Arkel R</searchLink>; Imperial College London, MSk Lab London UK.; Department of Mechanical Engineering Imperial College London London UK.<br /><searchLink fieldCode="AU" term="%22Jones+G%22">Jones G</searchLink>; Imperial College London, MSk Lab London UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101653750%22">Journal of experimental orthopaedics</searchLink> [J Exp Orthop] 2025 Jul 13; Vol. 12 (3), pp. e70342. <i>Date of Electronic Publication: </i>2025 Jul 13 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101653750 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2197-1153 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221971153%22">21971153 </searchLink><i>NLM ISO Abbreviation: </i>J Exp Orthop <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40655254 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/jeo2.70342 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e70342 Titles: – TitleFull: Deep learning classification models demonstrate high accuracy and clinical potential in radiograph interpretation in the arthroplasty clinical pathway: A systematic review and meta-analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Musbahi O – PersonEntity: Name: NameFull: Ahmed A – PersonEntity: Name: NameFull: Hall T – PersonEntity: Name: NameFull: Kutyla K – PersonEntity: Name: NameFull: Sadiq M – PersonEntity: Name: NameFull: Cobb J – PersonEntity: Name: NameFull: Bottle A – PersonEntity: Name: NameFull: Van Arkel R – PersonEntity: Name: NameFull: Jones G IsPartOfRelationships: – BibEntity: Dates: – D: 13 M: 07 Text: 2025 Jul 13 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2197-1153 Numbering: – Type: volume Value: 12 – Type: issue Value: 3 Titles: – TitleFull: Journal of experimental orthopaedics Type: main |
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