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自闭症谱系障碍治疗中人工智能研究趋势的文献计量分析。

A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders.

作者信息

Zhang Shouyao, Wang Shuang, Liu Ruilu, Dong Hang, Zhang Xinghe, Tai Xiantao

机构信息

School of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China.

出版信息

Front Psychiatry. 2022 Aug 29;13:967074. doi: 10.3389/fpsyt.2022.967074. eCollection 2022.

DOI:10.3389/fpsyt.2022.967074
PMID:36104988
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9464861/
Abstract

OBJECTIVE: Autism Spectrum Disorder (ASD) is a serious neurodevelopmental disorder that has become the leading cause of disability in children. Artificial intelligence (AI) is a potential solution to this issue. This study objectively analyzes the global research situation of AI in the treatment of ASD from 1995 to 2022, aiming to explore the global research status and frontier trends in this field. METHODS: Web of Science (WoS) and PubMed databese were searched for Literature related to AI on ASD from 1995 to April 2022. CiteSpace, VOSviewer, Pajek and Scimago Graphica were used to analyze the collaboration between countries/institutions/authors, clusters and bursts of keywords, as well as analyses on references. RESULTS: A total of 448 literature were included, the total number of literature has shown an increasing trend. The most productive country and institution were the USA, and Vanderbilt University. The authors with the greatest contributions were Warren, Zachary, Sakar, Nilanjan and Swanson, Amy. the most prolific and cited journal is , the highest cited and co-cited articles were Dautenhahn (Socially intelligent robots: dimensions of human-robot interaction 2007) and Scassellati B (Robots for Use in Autism Research 2012). "Artificial Intelligence", "Brain Computer Interface" and "Humanoid Robot" were the hotspots and frontier trends of AI on ASD. CONCLUSION: The application of AI in the treatment of ASD has attracted the attention of researchers all over the world. The education, social function and joint attention of children with ASD are the most concerned issues for global researchers. Robots shows gratifying advantages in these issues and have become the most commonly used technology. Wearable devices and brain-computer interface (BCI) were emerging AI technologies in recent years, which is the direction of further exploration. Restoring social function in individuals with ASD is the ultimate aim and driving force of research in the future.

摘要

目的：自闭症谱系障碍（ASD）是一种严重的神经发育障碍，已成为儿童残疾的主要原因。人工智能（AI）是解决这一问题的潜在方案。本研究客观分析了1995年至2022年人工智能在ASD治疗中的全球研究状况，旨在探索该领域的全球研究现状和前沿趋势。 方法：在科学网（WoS）和PubMed数据库中检索1995年至2022年4月与人工智能在ASD方面相关的文献。使用CiteSpace、VOSviewer、Pajek和Scimago Graphica分析国家/机构/作者之间的合作、关键词聚类和突现情况以及参考文献分析。 结果：共纳入448篇文献，文献总数呈上升趋势。发文量最多的国家和机构是美国以及范德比尔特大学。贡献最大的作者是沃伦、扎卡里、萨卡尔、尼兰詹和斯旺森、艾米。发文量最多且被引用最多的期刊是，被引用次数最多且共同被引用的文章是道滕哈恩（《具有社会智能的机器人：人机交互的维度》，2007年）和斯卡塞拉蒂B（《用于自闭症研究的机器人》，2012年）。“人工智能”“脑机接口”和“人形机器人”是人工智能在ASD研究中的热点和前沿趋势。 结论：人工智能在ASD治疗中的应用已引起全球研究人员的关注。ASD儿童的教育、社会功能和共同注意是全球研究人员最关注的问题。机器人在这些问题上显示出令人满意的优势，已成为最常用的技术。可穿戴设备和脑机接口（BCI）是近年来新兴的人工智能技术，是进一步探索的方向。恢复ASD个体的社会功能是未来研究的最终目标和驱动力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/062d/9464861/92bb162f89e6/fpsyt-13-967074-g0012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/062d/9464861/5e34d3064670/fpsyt-13-967074-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/062d/9464861/ca4d0e794ad2/fpsyt-13-967074-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/062d/9464861/4ca22a617000/fpsyt-13-967074-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/062d/9464861/40aad27d156d/fpsyt-13-967074-g0009.jpg
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本文引用的文献

[1]
Clinical application of robotic orthopedic surgery: a bibliometric study.

BMC Musculoskelet Disord. 2021-11-22

[2]
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Global Research Trends in Robotic Applications in Spinal Medicine: A Systematic Bibliometric Analysis.

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