Alzheimer's disease(AD)is a neurodegenerative disease characterized by clinical manifestations of cognitive decline,abnormal mental behavior and decreased ability to engage in daily activities.The etiology of this disease is diverse and the onset is insidious.Traditional neuropsychological assessments are time-consuming,imaging detection sensitivity is low,and drug development progress is slow.With the rapid development of cognitive neuroscience and digital technology,digital technologies such as artificial intelligence and virtual reality are receiving increasing attention.This article aims to review the clinical research on digital technology in the prediction,screening,auxiliary diagnosis and treatment of AD in recent years,as well as the progress and breakthroughs in multiple fields such as AD gait,fine motor and speech,providing a directions for clinical diagnosis and further exploration.