Alzheimer's disease(AD)is an irreversible neurodegenerative disorder,making early screening and diagno-sis pivotal for its effective treatment.The complexity of diagnosing AD,however,poses significant challenges for primary-level screening.As an extension of the central nervous system,the retina exhibits changes closely linked to AD,offering a new pathway for non-invasive early detection of AD.In recent years,deep learning(DL)has achieved notable advance-ments in the medical field,especially in image recognition and analysis.The synergy between DL and retinal imaging has unveiled substantial potential in diagnosing and treating AD.This article reviews the advancements in applying DL to ana-lyze retinal images related to AD,encompassing the diagnosis,prediction of progression,and long-term management of AD,as well as the current shortcomings in clinical practice,providing a reference for further research into the application of DL in retinal imaging for AD.