The rapid development of artificial intelligence(AI)technology has driven the intelligentization of medicine.In recent years,due to the continuous improvement of machine learning and deep learning technologies,AI technology has made rapid progress in the diagnosis and treatment of ocular fundus diseases,including retinal vascular disease,macular disease,retinal detachment,and retinal pigment degeneration.Early diagnosis and treatment are of great significance for the prognosis of ocular fundus diseases.This article gives a guide for the application of AI in automatic segmentation of ret-inal images and disease diagnosis,providing a reference for further research and appIication of AI in this field.

Senile macular degeneration(SMD)is a complex,highly heritable,and multifactorial disease that leads to the aging-related change in the macular region,characterized by progressive retinal degeneration and progressive loss of vi-sion.About 200 million people worldwide suffer from SMD,and the incidence is increasing as the population ages.Artifi-cial intelligence(AI)technology has developed rapidly in recent years,and its application in the medical field has brought new possibilities for the development of the medical industry.AI-based qualitative and quantitative evaluation of retinal fluid can not only facilitate the diagnosis of neovascular SMD but also help adjust the treatment plan timely according to the effect,so as to provide more targeted treatment for patients.This guide summarizes the application of AI in the treatment of SMD,including the application progress,clinical application and future development of AI in retinal fluid monitoring,to pro-vide sufficient support for ophthalmologists to evaluate patient's conditions,design treatment plans and estimate prognosis.