AI-based assessments of speech and language impairments in dementia

被引：2
|
作者：
Parsapoor, Mahboobeh [1 ,2 ]
机构：
[1] Ctr Rech Informat Montreal CRIM, Montreal, PQ, Canada
[2] Ctr Rech Informat Montreal CRIM, 405 Ave Ogilvy 101, Montreal, PQ H3N1M3, Canada
来源：
ALZHEIMERS & DEMENTIA | 2023年 / 19卷 / 10期
关键词：
AI; deep learning; dementia; linguistic and acoustic features; machine learning; natural language processing; speech processing techniques; MILD COGNITIVE IMPAIRMENT; VERBAL-LEARNING TEST; ALZHEIMERS-DISEASE; DIAGNOSIS; PERFORMANCE; INDIVIDUALS; MANAGEMENT; TESTS; NEED;
D O I：
10.1002/alz.13395
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
Recent advancements in the artificial intelligence (AI) domain have revolutionized the early detection of cognitive impairments associated with dementia. This has motivated clinicians to use AI-powered dementia detection systems, particularly systems developed based on individuals' and patients' speech and language, for a quick and accurate identification of patients with dementia. This paper reviews articles about developing assessment tools using machine learning and deep learning algorithms trained by vocal and textual datasets.
引用
收藏
页码：4675 / 4687
页数：13
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