Abstract:Alzheimer's disease (AD) is an irreversible neurodegenerative disorder, which is mainly manifested as memory, execution, language and other impairments. Early detection and intervention can delay the progression of the disease. At present, traditional neuropsychological scales are commonly used clinically to assess patients'cognitive function, but it has certain subjectivity and limitations. Artificial intelligence natural language processing (NLP) is a cognitive assessment tool that integrates linguistics, computer science and machine learning, which can more objectively assess the degree of cognitive decline in patients by analyzing human language and help clinicians identify patients with mild cognitive impairment (MCI) and AD early and classify AD patients. This review will summarize the application of artificial intelligence NLP in AD.
