Artificial intelligence in the diagnosis and pathological assessment of bladder cancer: current evidence and clinical applications.
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| Title: | Artificial intelligence in the diagnosis and pathological assessment of bladder cancer: current evidence and clinical applications. |
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| Authors: | Narimani, Nima1 (AUTHOR) nimanar@gmail.com, Atarod, Mohammad Mehdi1 (AUTHOR) mmataroduro@gmail.com, Zolfi, Ehsan1 (AUTHOR) ehsanzolfii@gmail.com, Shahrokhi-Damavand, Reza2 (AUTHOR) esdamavand@gmail.com, Maleki, Hadi3 (AUTHOR) hadimalekiii@gmail.com, Saberi, Ali4 (AUTHOR) alisaberiii@gmail.com, Naseri, Amirhosein5 (AUTHOR) amnserii@gmail.com, Rahmani, Amirhossein6 (AUTHOR) amirho.rahmani@gmail.com, Shahbazi, Amirhossein7 (AUTHOR) amshabaz@gmail.com, Aghili, Kazem8 (AUTHOR) kazaghili@gmail.com, Neamatzadeh, Hossein9 (AUTHOR) neamatzadehh@gmail.com |
| Source: | African Journal of Urology. 5/21/2026, Vol. 32 Issue 1, p1-17. 17p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 11105704 |
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| DOI: | 10.1186/s12301-026-00578-2 |
