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Insufficient Transparency in Stochasticity Reporting in Large Language Model Studies for Medical Applications in Leading Medical Journals.

作者信息

Suh Chong Hyun, Yi Jeho, Shim Woo Hyun, Heo Hwon

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.

Asan Medical Library, University of Ulsan College of Medicine, Seoul, Republic of Korea.

出版信息

Korean J Radiol. 2024 Nov;25(11):1029-1031. doi: 10.3348/kjr.2024.0788.

DOI:10.3348/kjr.2024.0788
PMID:39473094
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11524687/
Abstract
摘要

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本文引用的文献

1
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.
2
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.
3
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.
4
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.
5
How Chatbots and Large Language Model Artificial Intelligence Systems Will Reshape Modern Medicine: Fountain of Creativity or Pandora's Box?聊天机器人和大语言模型人工智能系统将如何重塑现代医学：创造力之源还是潘多拉魔盒？
JAMA Intern Med. 2023 Jun 1;183(6):596-597. doi: 10.1001/jamainternmed.2023.1835.