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Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?

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Title: Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?
Authors: Bozgo V; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands., Roest C; Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands., van Oort I; Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands., Yakar D; Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.; Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands., Huisman H; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway., de Rooij M; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands. maarten.derooij@radboudumc.nl.
Source: European radiology [Eur Radiol] 2024 Dec; Vol. 34 (12), pp. 7698-7704. Date of Electronic Publication: 2024 Jun 27.
Publication Type: Journal Article; 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: Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?
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  Data: <searchLink fieldCode="AU" term="%22Bozgo+V%22">Bozgo V</searchLink>; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Roest+C%22">Roest C</searchLink>; Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Oort+I%22">van Oort I</searchLink>; Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Yakar+D%22">Yakar D</searchLink>; Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.; Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Huisman+H%22">Huisman H</searchLink>; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.<br /><searchLink fieldCode="AU" term="%22de+Rooij+M%22">de Rooij M</searchLink>; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands. maarten.derooij@radboudumc.nl.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2024 Dec; Vol. 34 (12), pp. 7698-7704. <i>Date of Electronic Publication: </i>2024 Jun 27.
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        Value: 10.1007/s00330-024-10869-3
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              Text: 2024 Dec
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