A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading: review article
Artificial intelligence (AI) is a promising tool in pathology, including cancer diagnosis, subtyping, grading, and prognostic prediction.
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| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
25 April 2023
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| In: |
Prostate cancer and prostatic diseases
Year: 2023, Volume: 26, Issue: 4, Pages: 681-692 |
| ISSN: | 1476-5608 |
| DOI: | 10.1038/s41391-023-00673-3 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/s41391-023-00673-3 Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/s41391-023-00673-3 
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| Author Notes: | Andrey Morozov, Mark Taratkin, Andrey Bazarkin, Juan Gomez Rivas, Stefano Puliatti, Enrico Checcucci, Ines Rivero Belenchon, Karl-Friedrich Kowalewski, Anastasia Shpikina, Nirmish Singla, Jeremy YC Teoh, Vasiliy Kozlov, Severin Rodler, Pietro Piazza, Harun Fajkovic, Maxim Yakimov, Andre Luis Abreu, Giovanni E Cacciamani, Dmitry Enikeev and Young Academic Urologists (YAU) Working Group in Uro-technology of the European Association of Urology |
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