Application and research progress of artificial intelligence in macular disease
10.3980/j.issn.1672-5123.2025.7.10
- VernacularTitle:人工智能在黄斑疾病中的应用及研究进展
- Author:
Chao ZHANG
1
;
Yuanyuan QI
1
;
Shugang WANG
1
;
Li CUI
1
Author Information
1. Dalian No.3 People's Hospital;Liaoning Branch of National Clinical Research Center;Liaoning Key Laboratory of Corneal and Ocular Surface Disease, Dalian 116091, Liaoning Province, China
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
macular disease;
age-related macular degeneration;
macular edema;
optical coherence tomography;
macular holes;
Stargardt disease
- From:
International Eye Science
2025;25(7):1094-1098
- CountryChina
- Language:Chinese
-
Abstract:
Algorithmic systems based on artificial intelligence(AI)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 AI-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 AI 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 AI in macular diseases, aiming to synthesize existing research achievements and current challenges, while proposing visionary prospects for the broader implementation of AI in ophthalmology and even systemic medicine in the future.
