Improving clinical efficiency using retrieval-augmented generation in urologic oncology: A guideline-enhanced artificial intelligence approach

被引：0
|
作者：
Collin, Harry [1 ,2 ]
Roberts, Matthew J. [1 ,3 ]
Keogh, Kandice [1 ,2 ]
Siriwardana, Amila [1 ]
Basto, Marnique [1 ]
机构：
[1] Royal Brisbane & Womens Hosp, Dept Urol, Herston, Qld, Australia
[2] Univ Queensland, Fac Med, Brisbane, Qld, Australia
[3] Univ Queensland, Ctr Clin Res, Fac Med, Brisbane, Qld, Australia
来源：
BJUI COMPASS | 2025年 / 6卷 / 01期
关键词：
artifical intelligence; cancer; chatgpt; European Association of Urology; renal cell carcinoma; retrieval-augmented generation; urology;
D O I：
10.1002/bco2.427
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页数：3
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