In the past few years, with the valid development of computer science and the advancement of interdisciplinary integration, the application of artificial intelligence(AI)in the medical field has increased rapidly. Previously, most AI-related research in ophthalmology focused on posterior segment such as diabetic retinopathy and age-related macular degeneration. Recent years, with refinement of learning algorithms and availability of big data, there are more and more research about AI applied to ocular surface diseases. This article reviews the related research and application of AI in ocular surface diseases, which discussing the current challenges as well as the opportunities of AI-related application of ophthalmology.