AUTHOR=Zhang Zuhui , Wang Ying , Zhang Hongzhen , Samusak Arzigul , Rao Huimin , Xiao Chun , Abula Muhetaer , Cao Qixin , Dai Qi 

TITLE=Artificial intelligence-assisted diagnosis of ocular surface diseases

JOURNAL=Frontiers in Cell and Developmental Biology

VOLUME=Volume 11 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2023.1133680

DOI=10.3389/fcell.2023.1133680

ISSN=2296-634X

ABSTRACT=With the rapid development of computer technology, the application of artificial intelligence (AI) in ophthalmology research has gained prominence in modern medicine. AI-related research in ophthalmology previously focused on the screening and diagnosis of fundus diseases, particu-larly diabetic retinopathy, age-related macular degeneration, and glaucoma. Since fundus images are relatively fixed, their standards are easy to unify. AI research related to ocular surface dis-eases has also increased. The main issue with research on ocular surface diseases is that the im-ages involved are complex, with many modalities. Therefore, this review aims to summarize current AI research and technologies used to diagnose ocular surface diseases such as pterygium, keratoconus, infectious keratitis, and dry eye to identify mature AI models that are suitable for research of ocular surface diseases and potential algorithms that may be used in the future.