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Artificial-intelligence models vs. radiologists in the detection of clinically significant prostate cancer on mpMRI: a meta-analysis.

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Title: Artificial-intelligence models vs. radiologists in the detection of clinically significant prostate cancer on mpMRI: a meta-analysis.
Authors: Andrade MA; School of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil. marcojuniorapple@gmail.com., Rodrigues H; School of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil., Colhado CH; School of Medicine, School of Medicine of Sao Jose do Rio Preto, Sao Jose do Rio Preto, Brazil., Godinho NJS; School of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil., Dos Santos RD; School of Engineering, Federal Institute of Espirito Santo (IFES), Linhares, Brazil., de Andrade AL; School of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil., Goodstein T; Department of Urology, Emory University, Atlanta, GA, 30322, USA.
Source: European radiology [Eur Radiol] 2026 Aug; Vol. 36 (8), pp. 6741-6751. Date of Electronic Publication: 2026 Mar 18.
Publication Type: Journal Article; Meta-Analysis; Systematic Review; Comparative Study; Review
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Artificial-intelligence models vs. radiologists in the detection of clinically significant prostate cancer on mpMRI: a meta-analysis.
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  Data: <searchLink fieldCode="AU" term="%22Andrade+MA%22">Andrade MA</searchLink>; School of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil. marcojuniorapple@gmail.com.<br /><searchLink fieldCode="AU" term="%22Rodrigues+H%22">Rodrigues H</searchLink>; School of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.<br /><searchLink fieldCode="AU" term="%22Colhado+CH%22">Colhado CH</searchLink>; School of Medicine, School of Medicine of Sao Jose do Rio Preto, Sao Jose do Rio Preto, Brazil.<br /><searchLink fieldCode="AU" term="%22Godinho+NJS%22">Godinho NJS</searchLink>; School of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.<br /><searchLink fieldCode="AU" term="%22Dos+Santos+RD%22">Dos Santos RD</searchLink>; School of Engineering, Federal Institute of Espirito Santo (IFES), Linhares, Brazil.<br /><searchLink fieldCode="AU" term="%22de+Andrade+AL%22">de Andrade AL</searchLink>; School of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.<br /><searchLink fieldCode="AU" term="%22Goodstein+T%22">Goodstein T</searchLink>; Department of Urology, Emory University, Atlanta, GA, 30322, USA.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2026 Aug; Vol. 36 (8), pp. 6741-6751. <i>Date of Electronic Publication: </i>2026 Mar 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00330-026-12465-z
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      – TitleFull: Artificial-intelligence models vs. radiologists in the detection of clinically significant prostate cancer on mpMRI: a meta-analysis.
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              Text: 2026 Aug
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              Y: 2026
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