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人工智能和通信科学和障碍的未来:一个图书识别和可视化分析
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
概括
人工智能 (AI) 越来越多地被用于通信科学和障碍 (CSD) 研究,从2012年到2023年,出版物大幅增加. 合作是推动AI在CSD研究,诊断和康复中的关键.
科学领域:
- *将人工智能 (AI) 整合到沟通科学和传播障碍 (CSD) 领域.
背景情况:
- *人工智能在医疗保健中变得越来越普遍,促使CSD进行专门的研究.
- *本研究提供了在CSD研究中AI应用的全面概述.
研究的目的:
- *为研究人员,开发人员和专业人士提供一个有价值的资源,他们对CSD内对AI感兴趣.
- *分析人工智能驱动的CSD研究中的趋势,特征和热点.
主要方法:
- *对CSD中基于AI的研究进行了文献分析.
- *数据来源于Web of Science和Scopus数据库,涵盖到2023年12月的出版物.
- *确定了15035个出版物,其中4375个符合分析的纳入标准.
主要成果:
- * 中央证券交易所出版物以人工智能为特色的年均增长率为16.51%,在2012年至2023年之间出现了显著的激增.
- *研究的主要沟通障碍包括自闭症,失语症,脱节症,帕金森病和阿尔茨海默病.
- *使用的突出的AI模型是支持向量机,卷积神经网络和隐藏的马尔科夫模型.
结论:
- *在CSD研究中采用人工智能略有落后于其他领域,但显示出越来越多的深度学习趋势.
- * 尽管存在挑战,人工智能为CSD研究和临床实践提供了巨大的好处.
- *跨学科的合作对于有效地利用AI在CSD研究,诊断,评估和康复中至关重要.
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