人工智能自然语言处理在阿尔茨海默病中的应用

Application of artificial intelligence natural language processing in Alzheimer's disease

摘要:

阿尔茨海默病（Alzheimer's disease，AD）是一种不可逆的神经系统退行性病变，主要表现为记忆、执行、语言等方面的损害，早期发现并干预可延缓疾病的进展。目前，临床上常用传统纸笔式神经心理量表评估患者认知功能，但其具有一定的主观性及局限性。人工智能自然语言处理（natural language processing，NLP）是一种融合语言学、计算机学及机器学习的认知评估工具，通过更加客观的分析人类语言来评估患者认知功能下降的程度，可以帮助临床医生早期识别轻度认知功能障碍（mild cognitive impairment，MCI）患者、AD患者并对AD患者进行分类。本文将对人工智能NLP在AD中的应用进行综述。

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.