Glaucoma is the first irreversible eye disease leading to blindness of the world. Due to its insidious and progressive nature, early diagnosis and monitoring of glaucoma progression is very important in clinical practice. Artificial intelligence(AI)is developing rapidly in the medical field. The research and application of AI and its subsets of machine learning(ML)and deep learning(DL)in glaucoma are becoming increasingly mature, which promotes human understanding of glaucoma, greatly improves the accuracy and efficiency of glaucoma screening and diagnosis, and greatly reduces the cost of examination. Using AI technology for early screening and diagnosis of glaucoma patients can reduce the risk of visual impairment of patients, and second, it can predict the progression of glaucoma and design personalized treatment plans, so as to improve the prognosis of patients. This paper summarizes the new progress of AI in glaucoma screening, diagnosis, and prognosis, the clinical difficulties and challenges, and prospects the advantages and future development trends of AI in glaucoma.