Version 1
: Received: 31 January 2024 / Approved: 31 January 2024 / Online: 31 January 2024 (13:54:35 CET)
How to cite:
Zhang, M.; Tang, E.; Ding, H.; Zhang, Y. Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis. Preprints2024, 2024012235. https://doi.org/10.20944/preprints202401.2235.v1
Zhang, M.; Tang, E.; Ding, H.; Zhang, Y. Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis. Preprints 2024, 2024012235. https://doi.org/10.20944/preprints202401.2235.v1
Zhang, M.; Tang, E.; Ding, H.; Zhang, Y. Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis. Preprints2024, 2024012235. https://doi.org/10.20944/preprints202401.2235.v1
APA Style
Zhang, M., Tang, E., Ding, H., & Zhang, Y. (2024). Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis. Preprints. https://doi.org/10.20944/preprints202401.2235.v1
Chicago/Turabian Style
Zhang, M., Hongwei Ding and Yang Zhang. 2024 "Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis" Preprints. https://doi.org/10.20944/preprints202401.2235.v1
Abstract
As artificial intelligence takes an increasingly prominent role in healthcare, a growing body of research is being dedicated to its application in the investigation of communication sciences and disorders (CSD). This study conducts a bibliometric analysis of AI-based research in the field of CSD published up to December 2023. Utilizing the Web of Science and Scopus databases, we identified 15,035 publications, with 4,375 meeting our inclusion criteria. From 1985 onwards, there has been a consistent annual increase in publications, averaging at 16.51%, notably surging from 2012 to 2023. The primary communication disorders studied include autism, dysarthria, dementia, Parkinson’s, and aphasia. Noteworthy AI techniques employed in CSD research encompass machine learning, automatic speech recognition, support vector machine, and deep learning. Our analysis provides a comprehensive overview, serving as a valuable resource for researchers, developers, and professionals seeking to comprehend the evolving landscape of AI in CSD research. Moving forward, collaborative efforts need to prioritize addressing ethical concerns, ensuring data privacy, enhancing methodological enhancements, and considering ecological validity in the application of AI in studies related to communication disorders.
Keywords
artificial intelligence; communication disorders; bibliometric; research landscape
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
