AI-Assisted vs Unassisted Identification of Prostate Cancer in Magnetic Resonance Images.
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| Title: | AI-Assisted vs Unassisted Identification of Prostate Cancer in Magnetic Resonance Images. |
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| Authors: | Twilt JJ; Minimally Invasive Image-Guided Intervention Center, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands., Saha A; Minimally Invasive Image-Guided Intervention Center, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands.; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands., Bosma JS; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands., Padhani AR; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, United Kingdom., Bonekamp D; Division of Radiology, Deutsches Krebsforschungszentrum, Heidelberg, Germany., Giannarini G; Urology Unit, Santa Maria della Misericordia University Hospital, Udine, Italy., van den Bergh R; Department of Urology, Erasmus Medical Center, Rotterdam, the Netherlands., Kasivisvanathan V; Centre for Urology Imaging, Prostate, AI and Surgical Studies (COMPASS) Research Group, Division of Surgery and Interventional Sciences, University College London, London, United Kingdom., Obuchowski N; Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio.; Department of Diagnostic Radiology, Cleveland Clinic Foundation, Cleveland, Ohio., Yakar D; Department of Radiology, University Medical Center Groningen, Groningen, the Netherlands.; Department of Radiology, Netherlands Cancer Institute, Amsterdam, the Netherlands., Elschot M; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.; Department of Radiology and Nuclear Medicine, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway., Veltman J; Department of Radiology, Ziekenhuisgroep Twente, Hengelo, the Netherlands.; Department of Multi-Modality Medical Imaging, Technical Medical Centre, University of Twente, Enschede, the Netherlands., Fütterer J; Minimally Invasive Image-Guided Intervention Center, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands.; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands., Huisman H; Diagnostic Image Analysis Group, Department of Medical Imaging, 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. |
| Corporate Authors: | PI-CAI Consortium |
| Source: | JAMA network open [JAMA Netw Open] 2025 Jun 02; Vol. 8 (6), pp. e2515672. Date of Electronic Publication: 2025 Jun 02. |
| Publication Type: | Journal Article; Comparative Study; Multicenter Study; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2574-3805 |
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| DOI: | 10.1001/jamanetworkopen.2025.15672 |
