认知评估新技术在痴呆诊断中的探索与进展  

Exploration and progress of new cognitive assessment techniques in the diagnosis of dementia

作　　者：王结群 张卫 郑晓然 聂志余[1] 李云霞[1] 郑加麟[2] Wang Jiequn;Zhang Wei;Zheng Xiaoran;Nie Zhiyu;Li Yunxia;Zheng Jialin(Department of Neurology,Tongji Hospital of Tongji University;School of Medicine,Tongji University)

机构地区：[1]上海市同济医院/同济大学附属同济医院神经内科,上海200065 [2]同济大学医学院,上海200065

出　　处：《重庆医科大学学报》2021年第11期1296-1301,共6页Journal of Chongqing Medical University

基　　金：国家自然科学基金资助项目(编号:81671307);上海市重中之重临床重点专科资助项目(编号:2017ZZ02020);同济大学附属同济医院专病数据库资助项目(编号:TJ(DB)2102)。

摘　　要：大脑功能减退的临床表现复杂多样,而传统认知量表评估内容单一,忽略了很多行为细节,在痴呆诊断中具有局限性。随着人工智能与医学交叉的研究不断增加,不断有新的评估方法出现,语音、书写过程、步态、眼动等特征分析及虚拟现实(virtual reality,VR)技术、可穿戴设备在认知评估中的探索成为热点。本文重点对以上认知评估新技术在认知评估中的探索和运用进行综述,并讨论认知评估新技术相对于传统量表评估的优势及前景,为今后此类评估方法在临床应用中的探索提供指导。The clinical manifestations of hypofunction of the brain are complex and diverse,while the assessment content of traditional cognitive scale is single,ignoring many behavioral details,which has limitations in the diagnosis of dementia. With the continuous increase of research on the intersection of artificial intelligence and medicine,new evaluation methods continue to emerge. The exploration of speech,writing process,gait,eye movements,virtual reality technology and wearable devices in cognitive evaluation have become hotspots. This article focuses on the exploration and application of the above new cognitive assessment techniques,and discusses the advantages and prospects of these new cognitive assessment techniques compared to traditional scale assessment,which would provid guidance for the future application of such evaluation methods in clinical practice.

关 键 词：人工智能 认知评估 痴呆诊断 综述 

分 类 号：R741.04[医药卫生—神经病学与精神病学]