Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis.

IF 2.2 2区医学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Journal of Speech Language and Hearing Research Pub Date : 2024-11-07 Epub Date: 2024-10-17 DOI:10.1044/2024_JSLHR-24-00157

Minyue Zhang, Enze Tang, Hongwei Ding, Yang Zhang

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Abstract

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.

Supplemental material: https://doi.org/10.23641/asha.27162564.

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人工智能与传播科学与障碍的未来：文献计量与可视化分析》。

目的：随着人工智能（AI）在医疗保健领域的作用日益突出，越来越多的研究正致力于将其应用于研究沟通科学与障碍（CSD）。本研究旨在提供一份全面的综述，为研究人员、开发人员和专业人士提供宝贵资源，帮助他们了解人工智能在 CSD 研究中不断发展的情况：我们对截至 2023 年 12 月发表的 CSD 学科中基于人工智能的研究进行了文献计量分析。利用 Web of Science 和 Scopus 数据库，我们确定了 15,035 篇出版物，其中 4,375 篇符合我们的纳入标准。根据文献计量数据，我们研究了出版趋势和模式、研究活动的特点以及研究热点倾向：从 1985 年起，发表论文的数量每年持续增长，平均增幅为 16.51%，2012 年至 2023 年期间的增幅尤为显著。研究的主要交流障碍包括自闭症、失语症、构音障碍、帕金森病和阿尔茨海默病。CSD 研究中值得关注的人工智能模型包括支持向量机、卷积神经网络和隐马尔可夫模型等：与人工智能在其他领域的应用相比，人工智能在 CSD 中的应用略显滞后。虽然 CSD 研究主要使用经典的机器学习技术，但融合深度学习方法的趋势日益明显。人工智能技术为 CSD 的研究和临床实践带来了巨大的好处，但也带来了一定的挑战。展望未来，技术、研究和临床领域之间的合作对于增强研究人员和语言病理学家有效利用人工智能技术进行 CSD 研究、诊断、评估和康复至关重要。补充材料：https://doi.org/10.23641/asha.27162564。

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来源期刊

Journal of Speech Language and Hearing Research AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY-REHABILITATION

CiteScore

4.10

自引率

19.20%

发文量

538

审稿时长

4-8 weeks

期刊介绍： Mission: JSLHR publishes peer-reviewed research and other scholarly articles on the normal and disordered processes in speech, language, hearing, and related areas such as cognition, oral-motor function, and swallowing. The journal is an international outlet for both basic research on communication processes and clinical research pertaining to screening, diagnosis, and management of communication disorders as well as the etiologies and characteristics of these disorders. JSLHR seeks to advance evidence-based practice by disseminating the results of new studies as well as providing a forum for critical reviews and meta-analyses of previously published work. Scope: The broad field of communication sciences and disorders, including speech production and perception; anatomy and physiology of speech and voice; genetics, biomechanics, and other basic sciences pertaining to human communication; mastication and swallowing; speech disorders; voice disorders; development of speech, language, or hearing in children; normal language processes; language disorders; disorders of hearing and balance; psychoacoustics; and anatomy and physiology of hearing.

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