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基于人工智能的痴呆症言语和语言障碍评估

AI-based assessments of speech and language impairments in dementia.

作者信息

Parsapoor Mahboobeh

机构信息

Centre de Recherche Informatique de Montréal: CRIM, Montreal, Quebec, Canada.

出版信息

Alzheimers Dement. 2023 Oct;19(10):4675-4687. doi: 10.1002/alz.13395. Epub 2023 Aug 14.

Abstract

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.

摘要

人工智能(AI)领域的最新进展彻底改变了与痴呆症相关的认知障碍的早期检测。这促使临床医生使用人工智能驱动的痴呆症检测系统,特别是基于个人和患者的语音和语言开发的系统,以便快速、准确地识别痴呆症患者。本文回顾了有关使用由语音和文本数据集训练的机器学习和深度学习算法开发评估工具的文章。

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