Chotcomwongse Peranut, Ruamviboonsuk Paisan, Grzybowski Andrzej
Vitreoretina Unit, Department of Ophthalmology, Rajavithi Hospital, Rungsit University, Bangkok, Thailand.
University of Warmia and Mazury, Olsztyn, Poland.
Ophthalmol Ther. 2024 Oct;13(10):2543-2558. doi: 10.1007/s40123-024-01018-6. Epub 2024 Aug 24.
A large language model (LLM) is an artificial intelligence (AI) model that uses natural language processing (NLP) to understand, interpret, and generate human-like language responses from unstructured text input. Its real-time response capabilities and eloquent dialogue enhance the interactive user experience in human-AI communication like never before. By gathering several sources on the internet, LLM chatbots can interact and respond to a wide range of queries, including problem solving, text summarization, and creating informative notes. Since ophthalmology is one of the medical fields integrating image analysis, telemedicine, AI, and other technologies, LLMs are likely to play an important role in eye care in the near future. This review summarizes the performance and potential applicability of LLMs in ophthalmology according to currently available publications.
大语言模型(LLM)是一种人工智能(AI)模型,它使用自然语言处理(NLP)来理解、解释并从非结构化文本输入中生成类似人类语言的回复。其实时响应能力和流畅的对话以前所未有的方式提升了人机交互中的用户体验。通过收集互联网上的多个来源,LLM聊天机器人可以交互并回答广泛的问题,包括解决问题、文本摘要以及创建信息笔记。由于眼科是整合图像分析、远程医疗、人工智能和其他技术的医学领域之一,LLM在不久的将来可能会在眼部护理中发挥重要作用。本综述根据当前可用的出版物总结了LLM在眼科中的性能和潜在适用性。