共 78 条
AI-assisted assessment and treatment of aphasia: a review
被引:4
作者:

Zhong, Xiaoyun
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机构:
Qingdao Univ Technol, Sch Humanities & Foreign Languages, Qingdao, Peoples R China Qingdao Univ Technol, Sch Humanities & Foreign Languages, Qingdao, Peoples R China
机构:
[1] Qingdao Univ Technol, Sch Humanities & Foreign Languages, Qingdao, Peoples R China
关键词:
AI;
aphasia;
aphasia assessment;
aphasia treatment;
people with aphasia;
PRIMARY PROGRESSIVE APHASIA;
QUALITY-OF-LIFE;
VOICE RECOGNITION;
SPEECH;
LANGUAGE;
PEOPLE;
CLASSIFICATION;
COMMUNICATION;
IMPAIRMENT;
EFFICACY;
D O I:
10.3389/fpubh.2024.1401240
中图分类号:
R1 [预防医学、卫生学];
学科分类号:
1004 ;
120402 ;
摘要:
Aphasia is a language disorder caused by brain injury that often results in difficulties with speech production and comprehension, significantly impacting the affected individuals' lives. Recently, artificial intelligence (AI) has been advancing in medical research. Utilizing machine learning and related technologies, AI develops sophisticated algorithms and predictive models, and can employ tools such as speech recognition and natural language processing to autonomously identify and analyze language deficits in individuals with aphasia. These advancements provide new insights and methods for assessing and treating aphasia. This article explores current AI-supported assessment and treatment approaches for aphasia and highlights key application areas. It aims to uncover how AI can enhance the process of assessment, tailor therapeutic interventions, and track the progress and outcomes of rehabilitation efforts. The article also addresses the current limitations of AI's application in aphasia and discusses prospects for future research.
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