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本文引用的文献

1
How to Optimize Prompting for Large Language Models in Clinical Research.如何在临床研究中优化大语言模型的提示
Korean J Radiol. 2024 Oct;25(10):869-873. doi: 10.3348/kjr.2024.0695.
2
Reporting Guidelines for Artificial Intelligence Studies in Healthcare (for Both Conventional and Large Language Models): What's New in 2024.医疗保健领域人工智能研究报告指南（适用于传统模型和大语言模型）：2024年有哪些新内容。
Korean J Radiol. 2024 Aug;25(8):687-690. doi: 10.3348/kjr.2024.0598. Epub 2024 Jul 10.
3
Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice.用于临床咨询的 Chatbot 评估报告工具 (CHART) 的开发方案。
BMJ Open. 2024 May 21;14(5):e081155. doi: 10.1136/bmjopen-2023-081155.
4
Seeing the Unseen: Advancing Generative AI Research in Radiology.洞察无形：推动放射学领域的生成式人工智能研究
Radiology. 2024 May;311(2):e240935. doi: 10.1148/radiol.240935.
5
Large language models for biomedicine: foundations, opportunities, challenges, and best practices.大型语言模型在生物医学领域的应用：基础、机遇、挑战和最佳实践。
J Am Med Inform Assoc. 2024 Sep 1;31(9):2114-2124. doi: 10.1093/jamia/ocae074.
6
Using GPT-4 for LI-RADS feature extraction and categorization with multilingual free-text reports.使用 GPT-4 对多语言自由文本报告进行 LI-RADS 特征提取和分类。
Liver Int. 2024 Jul;44(7):1578-1587. doi: 10.1111/liv.15891. Epub 2024 Apr 23.
7
Chatbots and Large Language Models in Radiology: A Practical Primer for Clinical and Research Applications.放射科中的聊天机器人和大型语言模型：临床和研究应用的实用入门指南。
Radiology. 2024 Jan;310(1):e232756. doi: 10.1148/radiol.232756.
8
Uncover This Tech Term: Foundation Model.揭开这个科技术语：基础模型。
Korean J Radiol. 2023 Oct;24(10):1038-1041. doi: 10.3348/kjr.2023.0790.
9
Large language models in medicine.医学中的大型语言模型。
Nat Med. 2023 Aug;29(8):1930-1940. doi: 10.1038/s41591-023-02448-8. Epub 2023 Jul 17.
10
The imperative for regulatory oversight of large language models (or generative AI) in healthcare.对医疗保健领域的大语言模型（或生成式人工智能）进行监管监督的必要性。
NPJ Digit Med. 2023 Jul 6;6(1):120. doi: 10.1038/s41746-023-00873-0.

Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM).

作者信息

Park Seong Ho, Suh Chong Hyun, Lee Jeong Hyun, Kahn Charles E, Moy Linda

机构信息

Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

出版信息

Korean J Radiol. 2024 Oct;25(10):865-868. doi: 10.3348/kjr.2024.0843.

DOI:10.3348/kjr.2024.0843
PMID:39344542
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11444851/
Abstract
摘要