Progress of Intelligent Diagnosis via Multiple Brain Features in Alzheimer’s Disease

Alzheimer’s disease (AD) is a neurodegenerative disease with unknown pathogenesis that manifests with a common type of dementia. With a persistent increase in the aging population worldwide, AD has become a public health concern. Early diagnosis of AD is challenging due to its insidious onset and irreversible progression. The analysis of multiple brain features combined with artificial intelligence has been widely used for the intelligent diagnosis (ID) of AD in recent years. This study aimed to comprehensively review the relevant studies on the ID of AD from the following five aspects: clinical scales, gene and cerebrospinal fluid, brain neuroimaging, text mining, and combined features, paving a path for developing the prospects of ID in AD.