Toward More Rigorous Meta-Analyses of Artificial Intelligence in Radiology: Addressing Methodological Challenges and Bias.
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| Title: | Toward More Rigorous Meta-Analyses of Artificial Intelligence in Radiology: Addressing Methodological Challenges and Bias. |
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| Authors: | Mohammadi S; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, Box 8225, St Louis, MO 63110., Sebro R; Departments of Musculoskeletal Imaging, Imaging Physics, and Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Tex., Guermazi A; Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, West Roxbury, Mass. |
| Source: | Radiology. Artificial intelligence [Radiol Artif Intell] 2026 Jul; Vol. 8 (4), pp. e260377. |
| Publication Type: | Editorial |
| Journal Info: | Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42267962 AccessLevel: 2 PubType: Editorial & Opinion PubTypeId: editorialOpinion PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Toward More Rigorous Meta-Analyses of Artificial Intelligence in Radiology: Addressing Methodological Challenges and Bias. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mohammadi+S%22">Mohammadi S</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, Box 8225, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Sebro+R%22">Sebro R</searchLink>; Departments of Musculoskeletal Imaging, Imaging Physics, and Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Tex.<br /><searchLink fieldCode="AU" term="%22Guermazi+A%22">Guermazi A</searchLink>; Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, West Roxbury, Mass. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101746556%22">Radiology. Artificial intelligence</searchLink> [Radiol Artif Intell] 2026 Jul; Vol. 8 (4), pp. e260377. – Name: TypePub Label: Publication Type Group: TypPub Data: Editorial – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Radiological+Society+of+North+America%2C+Inc%22">Radiological Society of North America, Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101746556 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2638-6100 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226386100%22">26386100 </searchLink><i>NLM ISO Abbreviation: </i>Radiol Artif Intell <i>Subsets: </i>MEDLINE; In Process |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42267962 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1148/ryai.260377 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e260377 Titles: – TitleFull: Toward More Rigorous Meta-Analyses of Artificial Intelligence in Radiology: Addressing Methodological Challenges and Bias. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mohammadi S – PersonEntity: Name: NameFull: Sebro R – PersonEntity: Name: NameFull: Guermazi A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2638-6100 Numbering: – Type: volume Value: 8 – Type: issue Value: 4 Titles: – TitleFull: Radiology. Artificial intelligence Type: main |
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