本文由小咖机器人翻译整理

期刊来源：Ann Intern Med

原文链接：https://doi.org/10.7326/M23-2772

摘要内容如下：

大型语言模型（LLM）是在大量文本数据上训练的人工智能模型，以生成类似人类的输出。它们已被应用于医疗保健中的各种任务，从回答医学考试问题到生成临床报告。随着生产LLM的公司和卫生系统之间越来越多的机构合作伙伴关系，这些模型在现实世界中的临床应用即将实现。随着这些模型的发展，卫生保健从业者必须了解LLM是什么，它们的发展，它们当前和潜在的应用，以及在医疗环境中的相关陷阱。这篇综述，加上一个教程，提供了这些领域的全面而可访问的概述，目的是让卫生保健专业人员熟悉医学中快速变化的LLM前景。此外，作者强调了该领域的活跃研究领域，这些领域有望提高LLM在医疗保健环境中的可用性。

英文原文如下：

Abstracts

Large language models (LLMs) are artificial intelligence models trained on vast text data to generate humanlike outputs. They have been applied to various tasks in health care, ranging from answering medical examination questions to generating clinical reports. With increasing institutional partnerships between companies producing LLMs and health systems, the real-world clinical application of these models is nearing realization. As these models gain traction, health care practitioners must understand what LLMs are, their development, their current and potential applications, and the associated pitfalls in a medical setting. This review, coupled with a tutorial, provides a comprehensive yet accessible overview of these areas with the aim of familiarizing health care professionals with the rapidly changing landscape of LLMs in medicine. Furthermore, the authors highlight active research areas in the field that promise to improve LLMs' usability in health care contexts.

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