ChatGPT和大语言模型在医学与医疗保健中的应用：益处与风险
Applications of ChatGPT and Large Language Models in Medicine and Health Care: Benefits and Pitfalls.
作者信息
Borkowski Andrew A, Jakey Colleen E, Mastorides Stephen M, Kraus Ana L, Vidyarthi Gitanjali, Viswanadhan Narayan, Lezama Jose L
机构信息
James A. Haley Veterans' Hospital, Tampa, Florida.
University of South Florida Morsani College of Medicine, Tampa.
出版信息
Fed Pract. 2023 Jun;40(6):170-173. doi: 10.12788/fp.0386. Epub 2023 Jun 16.
BACKGROUND
The use of large language models like ChatGPT is becoming increasingly popular in health care settings. These artificial intelligence models are trained on vast amounts of data and can be used for various tasks, such as language translation, summarization, and answering questions.
OBSERVATIONS
Large language models have the potential to revolutionize the industry by assisting medical professionals with administrative tasks, improving diagnostic accuracy, and engaging patients. However, pitfalls exist, such as its inability to distinguish between real and fake information and the need to comply with privacy, security, and transparency principles.
CONCLUSIONS
Careful consideration is needed to ensure the responsible and ethical use of large language models in medicine and health care. Bill Gates1.
背景
像ChatGPT这样的大语言模型在医疗环境中的使用越来越普遍。这些人工智能模型基于大量数据进行训练，可用于各种任务，如语言翻译、总结和回答问题。
观察结果
大语言模型有潜力通过协助医疗专业人员处理行政任务、提高诊断准确性和吸引患者来彻底改变该行业。然而，也存在一些陷阱，比如它无法区分真实和虚假信息，以及需要遵守隐私、安全和透明原则。
结论
需要仔细考虑以确保在医学和医疗保健中负责任且符合道德地使用大语言模型。比尔·盖茨1。
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