AI-assisted assessment and treatment of aphasia: a review.


Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2024
Historique:
received: 15 03 2024
accepted: 19 08 2024
medline: 17 9 2024
pubmed: 17 9 2024
entrez: 16 9 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 39281082
doi: 10.3389/fpubh.2024.1401240
pmc: PMC11394183
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1401240

Informations de copyright

Copyright © 2024 Zhong.

Déclaration de conflit d'intérêts

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Xiaoyun Zhong (X)

School of Humanities and Foreign Languages, Qingdao University of Technology, Qingdao, China.

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