Tan Ting Fang, Quek Chrystie, Wong Joy, Ting Daniel S W
Singapore National Eye Centre, Singapore Eye Research Institute.
Singapore Health Services, Artificial Intelligence Office.
Curr Opin Ophthalmol. 2025 Jan 1;36(1):83-89. doi: 10.1097/ICU.0000000000001097. Epub 2024 Oct 23.
As the surge in large language models (LLMs) and generative artificial intelligence (AI) applications in ophthalmology continue to expand, this review seeks to update physicians of the current progress, to catalyze further work to harness its capabilities to enhance healthcare delivery in ophthalmology.
Generative AI applications have shown promising performance in Ophthalmology. Beyond native LLMs and question-answering based tasks, there has been increasing work in employing novel LLM techniques and exploring wider use case applications.
In this review, we first look at existing LLM use case applications specific to Ophthalmology, followed by an overview of commonly used LLM techniques. We finally focus on the emerging trends of the generative AI space with an angle from ophthalmology.
随着大型语言模型（LLMs）和生成式人工智能（AI）在眼科领域的应用激增且不断扩展，本综述旨在向医生介绍当前进展，以推动进一步利用其能力来改善眼科医疗服务的工作。
生成式AI应用在眼科领域已展现出良好的性能。除了原生LLMs和基于问答的任务外，采用新型LLM技术和探索更广泛用例应用的工作也在不断增加。
在本综述中，我们首先探讨眼科领域特定的现有LLM用例应用，接着概述常用的LLM技术。最后，我们从眼科角度关注生成式AI领域的新兴趋势。
