国际眼科杂志2025，Vol.25Issue(7)：1094-1098,5.DOI:10.3980/j.issn.1672-5123.2025.7.10
人工智能在黄斑疾病中的应用及研究进展
Application and research progress of artificial intelligence in macular disease
张超 1祁媛媛 1王树纲 1崔丽1
作者信息
- 1. (116091)中国辽宁省大连市第三人民医院国家临床医学研究中心辽宁省分中心辽宁省角膜与眼表疾病重点实验室
- 折叠
摘要
Abstract
Algorithmic systems based on artificial intelligence(Al)and machine learning(ML)have undergone rapid advancement in recent years,demonstrating extensive application across diverse ophthalmic disorders.Owing to the public availability of multiple global databases,significant progress has been achieved in the training and development of Al-integrated algorithms utilizing multimodal ophthalmic imaging modalities,including fundus photography and optical coherence tomography(OCT).These advancements have established a foundation for precision medicine and efficient healthcare delivery.The diagnosis of macular diseases relies on the identification of subtle alterations in tissue anatomy,where Al demonstrated exceptional performance in detecting intraocular biomarkers and evaluating anatomical changes during disease progression,with particularly prominent utility in the field of macular pathologies.This article provides a comprehensive review of the current applications of Al in macular diseases,aiming to synthesize existing research achievements and current challenges,while proposing visionary prospects for the broader implementation of Al in ophthalmology and even systemic medicine in the future.关键词
人工智能/黄斑疾病/年龄相关性黄斑变性/黄斑水肿/光学相干断层扫描/黄斑裂孔/Stargardt病Key words
artificial intelligence/macular disease/age-related macular degeneration/macular edema/optical coherence tomography/macular holes/Stargardt disease引用本文复制引用
张超,祁媛媛,王树纲,崔丽..人工智能在黄斑疾病中的应用及研究进展[J].国际眼科杂志,2025,25(7):1094-1098,5.
