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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.
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
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  Availability: 0
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 175699454
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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        Value: 10.1016/S0302-2838(24)00773-5
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              Text: 2024 Supplement 1
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