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World Journal of Urology
Literature
1.
Kollitsch L, Eredics K, Marszalek M et al (2024) How does artificial intelligence master urological board examinations? A comparative analysis of different Large Language Models’ accuracy and reliability in the 2022 In-Service Assessment of the European Board of Urology. World J Urol 42(1):20CrossRefPubMed
Metadata
Title
Letter to the editor, “How does artificial intelligence master urological board examinations?”
Authors
Junjun Wang
Xing Yun
Publication date
01-12-2024
Publisher
Springer Berlin Heidelberg
Published in
World Journal of Urology / Issue 1/2024
Print ISSN: 0724-4983
Electronic ISSN: 1433-8726
DOI
https://doi.org/10.1007/s00345-024-04844-2

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