Utilizing Large Language Models in Ophthalmology: The Current Landscape and Challenges

被引:0
|
作者
Chotcomwongse, Peranut [1 ]
Ruamviboonsuk, Paisan [1 ]
Grzybowski, Andrzej [2 ,3 ]
机构
[1] Rungsit Univ, Rajavithi Hosp, Dept Ophthalmol, Vitreoretina Unit, Bangkok, Thailand
[2] Univ Warmia & Mazury, Olsztyn, Poland
[3] Fdn Ophthalmol Dev, Inst Res Ophthalmol, PL-61553 Poznan, Poland
关键词
Large language model; Ophthalmology; ChatGPT; Bard; Copilot; Telemedicine; Artificial intelligence; CHATGPT;
D O I
10.1007/s40123-024-01018-6
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
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.
引用
收藏
页码:2543 / 2558
页数:16
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