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大语言模型与风湿病学:我们到那儿了吗?

Large language models and rheumatology: are we there yet?

作者信息

Benavent Diego, Madrid-García Alfredo

机构信息

Rheumatology Department, Hospital Universitari de Bellvitge, Barcelona, Spain.

Medical Department, Savana Research SL, Madrid, Spain.

出版信息

Rheumatol Adv Pract. 2024 Sep 18;9(2):rkae119. doi: 10.1093/rap/rkae119. eCollection 2025.

Abstract

The last 2 years have marked the beginning of a golden age for natural language processing in medicine. The arrival of large language models (LLMs) and multimodal models have raised new opportunities and challenges for research and clinical practice. In rheumatology, a specialty rich in data and requiring complex decision-making, the use of these tools may transform diagnostic procedures, improve patient interaction and simplify data management, leading to more personalized and efficient healthcare outcomes. The objective of this article is to present an overview of the status of LLMs in the field of rheumatology while discussing some of the challenges ahead in this area of great potential.

摘要

过去两年标志着医学领域自然语言处理黄金时代的开端。大语言模型(LLMs)和多模态模型的出现为研究和临床实践带来了新的机遇与挑战。在风湿病学这一数据丰富且需要复杂决策的专业领域,使用这些工具可能会改变诊断程序、改善医患互动并简化数据管理,从而带来更个性化、高效的医疗结果。本文的目的是概述大语言模型在风湿病学领域的现状,同时探讨这一极具潜力领域面临的一些挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/787f/12007598/b1cfa9043f35/rkae119f3.jpg

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