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

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Bibliographic Details
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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