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Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization
Minyue Zhang1,2, Enze Tang1,3, Hongwei Ding1,2
1Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China.
Journal of Speech, Language, and Hearing Research : JSLHR
|October 17, 2024
Summary
Artificial intelligence (AI) is increasingly used in communication sciences and disorders (CSD) research, with a significant publication surge from 2012-2023. Collaboration is key to advancing AI in CSD study, diagnosis, and rehabilitation.
Area of Science:
- * The integration of artificial intelligence (AI) into the field of communication sciences and disorders (CSD).
Background:
- * AI is becoming more prevalent in healthcare, prompting dedicated research in CSD.
- * This study provides a comprehensive overview of AI applications within CSD research.
Purpose of the Study:
- * To offer a valuable resource for researchers, developers, and professionals interested in AI within CSD.
- * To analyze trends, characteristics, and hotspots in AI-driven CSD research.
Main Methods:
- * A bibliometric analysis of AI-based research in CSD was conducted.
- * Data were sourced from Web of Science and Scopus databases, covering publications up to December 2023.
- * 15,035 publications were identified, with 4,375 meeting inclusion criteria for analysis.
Main Results:
- * A consistent annual increase in CSD publications featuring AI, averaging 16.51%, with a notable surge between 2012 and 2023.
- * Key communication disorders investigated include autism, aphasia, dysarthria, Parkinson's disease, and Alzheimer's disease.
- * Prominent AI models used are support vector machines, convolutional neural networks, and hidden Markov models.
Conclusions:
- * AI adoption in CSD research lags slightly behind other fields but shows a growing trend towards deep learning.
- * AI offers substantial benefits for CSD research and clinical practice, despite existing challenges.
- * Interdisciplinary collaboration is crucial for effectively utilizing AI in CSD study, diagnosis, assessment, and rehabilitation.
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