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Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessment.

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Title: Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessment.
Authors: Arita Y; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Roest C; Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands., Kwee TC; Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands., Paudyal R; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Lema-Dopico A; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Fransen S; Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands., Hirahara D; Department of Advanced Biomedical Imaging Informatics, St. Marianna University School of Medicine, Kawasaki, Japan., Takaya E; Department of Advanced Biomedical Imaging Informatics, St. Marianna University School of Medicine, Kawasaki, Japan., Ueda R; Office of Radiation Technology, Keio University Hospital, Tokyo, Japan., Ruby L; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Nissan N; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Schwartz LH; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Shukla-Dave A; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Akin O; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Source: Asian journal of urology [Asian J Urol] 2025 Oct; Vol. 12 (4), pp. 434-444. Date of Electronic Publication: 2025 Feb 21.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier (Singapore) Pte Ltd Country of Publication: Singapore NLM ID: 101699720 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2214-3882 (Print) Linking ISSN: 22143882 NLM ISO Abbreviation: Asian J Urol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessment.
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  Data: <searchLink fieldCode="AU" term="%22Arita+Y%22">Arita Y</searchLink>; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Roest+C%22">Roest C</searchLink>; Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Kwee+TC%22">Kwee TC</searchLink>; Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Paudyal+R%22">Paudyal R</searchLink>; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Lema-Dopico+A%22">Lema-Dopico A</searchLink>; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Fransen+S%22">Fransen S</searchLink>; Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Hirahara+D%22">Hirahara D</searchLink>; Department of Advanced Biomedical Imaging Informatics, St. Marianna University School of Medicine, Kawasaki, Japan.<br /><searchLink fieldCode="AU" term="%22Takaya+E%22">Takaya E</searchLink>; Department of Advanced Biomedical Imaging Informatics, St. Marianna University School of Medicine, Kawasaki, Japan.<br /><searchLink fieldCode="AU" term="%22Ueda+R%22">Ueda R</searchLink>; Office of Radiation Technology, Keio University Hospital, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Ruby+L%22">Ruby L</searchLink>; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Nissan+N%22">Nissan N</searchLink>; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Schwartz+LH%22">Schwartz LH</searchLink>; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Shukla-Dave+A%22">Shukla-Dave A</searchLink>; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Akin+O%22">Akin O</searchLink>; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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  Data: <searchLink fieldCode="JN" term="%22101699720%22">Asian journal of urology</searchLink> [Asian J Urol] 2025 Oct; Vol. 12 (4), pp. 434-444. <i>Date of Electronic Publication: </i>2025 Feb 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+%28Singapore%29+Pte+Ltd%22">Elsevier (Singapore) Pte Ltd </searchLink><i>Country of Publication: </i>Singapore <i>NLM ID: </i>101699720 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2214-3882 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222143882%22">22143882 </searchLink><i>NLM ISO Abbreviation: </i>Asian J Urol <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1016/j.ajur.2024.12.001
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        Text: English
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              Text: 2025 Oct
              Type: published
              Y: 2025
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