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Bridging the gap: the role of large language model refinement in readability in urology research.

作者信息

Cacciamani Giovanni E, Layne Ethan, Asmundo Maria Giovanna, Russo Giorgio Ivan

机构信息

USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

AI Center at USC Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.

出版信息

BJU Int. 2025 May 19;136(3):356-8. doi: 10.1111/bju.16774.

DOI:10.1111/bju.16774
PMID:40387322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12343976/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/667e/12343976/f163605e30cc/BJU-136-356-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/667e/12343976/f163605e30cc/BJU-136-356-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/667e/12343976/f163605e30cc/BJU-136-356-g001.jpg

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本文引用的文献

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The TRIPOD-LLM reporting guideline for studies using large language models.使用大语言模型的研究的TRIPOD-LLM报告指南。
Nat Med. 2025 Jan;31(1):60-69. doi: 10.1038/s41591-024-03425-5. Epub 2025 Jan 8.
2
ChatGPT and large language models (LLMs) awareness and use. A prospective cross-sectional survey of U.S. medical students.ChatGPT与大语言模型（LLMs）的认知与使用：一项针对美国医学生的前瞻性横断面调查。
PLOS Digit Health. 2024 Sep 5;3(9):e0000596. doi: 10.1371/journal.pdig.0000596. eCollection 2024 Sep.
3
Generative Artificial Intelligence Platform for Automating Social Media Posts From Urology Journal Articles: A Cross-Sectional Study and Randomized Assessment.
用于自动生成社交媒体帖子的生成式人工智能平台：一项横断面研究和随机评估。
J Urol. 2024 Dec;212(6):873-881. doi: 10.1097/JU.0000000000004199. Epub 2024 Aug 14.
4
Quality of information and appropriateness of ChatGPT outputs for urology patients.针对泌尿外科患者的ChatGPT输出信息质量及适用性
Prostate Cancer Prostatic Dis. 2024 Mar;27(1):103-108. doi: 10.1038/s41391-023-00705-y. Epub 2023 Jul 29.
5
Clinical Patient Summaries Not Fit for Purpose: A Study in Urology.临床患者总结不适用：泌尿科研究。
Eur Urol Focus. 2023 Nov;9(6):1068-1071. doi: 10.1016/j.euf.2023.06.003. Epub 2023 Jun 20.
6
Generative Pre-training Transformer Chat (ChatGPT) in the scientific community: the train has left the station.科学界的生成式预训练变换器聊天机器人（ChatGPT）：木已成舟。
Minerva Urol Nephrol. 2023 Apr;75(2):131-133. doi: 10.23736/S2724-6051.23.05326-0. Epub 2023 Mar 8.
7
Difficult to read: An analysis of urology publications using readability tools.难以阅读：使用可读性工具对泌尿外科出版物的分析
Can Urol Assoc J. 2023 May;17(5):E141-E143. doi: 10.5489/cuaj.8169.
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Quality and readability of online patient information on treatment for erectile dysfunction.关于勃起功能障碍治疗的在线患者信息的质量与可读性。
BJUI Compass. 2021 May 6;2(6):412-418. doi: 10.1002/bco2.87. eCollection 2021 Nov.
9
Asking "Dr. Google" for a Second Opinion: The Devil Is in the Details.向“谷歌医生”寻求第二意见：细节决定成败。
Eur Urol Focus. 2021 Mar;7(2):479-481. doi: 10.1016/j.euf.2019.10.011. Epub 2019 Nov 2.