Abstract
The rapid development of artificial intelligencein recent years has brought technological innovation to many fields. Artificial intelligence has shown great potential in the field of medicine. The specificity and accuracy of image interpretation and diagnosis assisted by artificial intelligence in some areas of diseases are comparable to human experts. Ophthalmology is a highly imaging-depended subject, such as fundus photography, optical coherence tomography, corneal topography, and so on, which is suitable for machine learning. Therefore many scholars are devoted to the application of artificial intelligence in ophthalmology. At present, most studies focus on retinal diseases. However in outpatient work, the number of patients with anterior ocular segment diseases is far more than that of patients with fundus diseases. This article aims to review the application of artificial intelligence in anterior ocular segment diseases. Key words: Artificial Intelligence; Keratoconus; Pterygium; Glaucoma; Cataract
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