Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis.
Purpose: As artificial intelligence (AI) takes an increasingly prominent role in health care, a growing body of research is being dedicated to its application in the investigation of communication sciences and disorders (CSD). This study aims to provide a comprehensive overview, serving as a valuabl...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 67; no. 11; pp. 4369 - 4391 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
Nov2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=180765744&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 180765744 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Nov2024 vid: 67 iid: 11 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 180765744 10.1044/2024_JSLHR-24-00157 ppf: 4369 ppct: 22 formats: fmt: @attributes: type: P size: 2.1MB tig: atl: Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis. aug: au: Minyue Zhang Enze Tang Hongwei Ding Yang Zhang affil: Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China National Research Centre for Language and Well-being, Shanghai, China Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China Department of Speech-Language-Hearing Sciences, University of Minnesota, Twin Cities, Minneapolis Masonic Institute for the Developing Brain, University of Minnesota, Twin Cities, Minneapolis su: Medical research Generative artificial intelligence Computer software Bibliometrics Digital image processing sug: subj: Medical research Computer and Computer Peripheral Equipment and Software Merchant Wholesalers Computer and software stores Computer, computer peripheral and pre-packaged software merchant wholesalers Software publishers (except video game publishers) Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology) Generative artificial intelligence Computer software Bibliometrics Digital image processing ab: Purpose: As artificial intelligence (AI) takes an increasingly prominent role in health care, a growing body of research is being dedicated to its application in the investigation of communication sciences and disorders (CSD). This study aims to provide a comprehensive overview, serving as a valuable resource for researchers, developers, and professionals seeking to comprehend the evolving landscape of AI in CSD research. Method: We conducted a bibliometric analysis of AI-based research in the discipline 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. Based on the bibliometric data, we examined publication trends and patterns, characteristics of research activities, and research hotspot tendencies. Results: From 1985 onwards, there has been a consistent annual increase in publications, averaging 16.51%, notably surging from 2012 to 2023. The primary communication disorders studied include autism, aphasia, dysarthria, Parkinson's disease, and Alzheimer's disease. Noteworthy AI models instantiated in CSD research encompass support vector machine, convolutional neural network, and hidden Markov model, among others. Conclusions: Compared to AI applications in other fields, the adoption of AI in CSD has lagged slightly behind. While CSD studies primarily use classical machine learning techniques, there is a growing trend toward the integration of deep learning methods. AI technology offers significant benefits for both research and clinical practice in CSD, but it also presents certain challenges. Moving forward, collaboration among technological, research, and clinical domains is essential to empower researchers and speech-language pathologists to effectively leverage AI technology for the study, diagnosis, assessment, and rehabilitation of CSD. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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