A0193 - Exploring the efficiency of generative artificial intelligence in rapidly and accurately producing patient information for urological malignancy treatments aligned with the latest EAU guidelines.
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| Title: | A0193 - Exploring the efficiency of generative artificial intelligence in rapidly and accurately producing patient information for urological malignancy treatments aligned with the latest EAU guidelines. |
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| Authors: | Rodler, S. (AUTHOR), Ramacciotti, L.S. (AUTHOR), Checcucci, E. (AUTHOR), De Backer, P. (AUTHOR), Belenchon, I.R. (AUTHOR), Taraktin, M. (AUTHOR), Pulliatti, S. (AUTHOR), Veccia, A. (AUTHOR), Piazza, P. (AUTHOR), Baekelandt, L. (AUTHOR), Kowalewski, K-F. (AUTHOR), Rivas, J.G. (AUTHOR), Abreu, A.L. (AUTHOR), Gill, I.S. (AUTHOR), Cacciamani, G.E. (AUTHOR) |
| Source: | European Urology. 2024 Supplement 1, Vol. 85, pS947-S948. 2p. |
| Database: | Academic Search Ultimate |
| ISSN: | 03022838 |
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| DOI: | 10.1016/S0302-2838(24)00773-5 |
