Cargando…
A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders
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...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464861/ https://www.ncbi.nlm.nih.gov/pubmed/36104988 http://dx.doi.org/10.3389/fpsyt.2022.967074 |
_version_ | 1784787663877832704 |
---|---|
author | Zhang, Shouyao Wang, Shuang Liu, Ruilu Dong, Hang Zhang, Xinghe Tai, Xiantao |
author_facet | Zhang, Shouyao Wang, Shuang Liu, Ruilu Dong, Hang Zhang, Xinghe Tai, Xiantao |
author_sort | Zhang, Shouyao |
collection | PubMed |
description | 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 Journal of Autism and Developmental Disorders, 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. |
format | Online Article Text |
id | pubmed-9464861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94648612022-09-13 A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders Zhang, Shouyao Wang, Shuang Liu, Ruilu Dong, Hang Zhang, Xinghe Tai, Xiantao Front Psychiatry Psychiatry 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 Journal of Autism and Developmental Disorders, 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. Frontiers Media S.A. 2022-08-29 /pmc/articles/PMC9464861/ /pubmed/36104988 http://dx.doi.org/10.3389/fpsyt.2022.967074 Text en Copyright © 2022 Zhang, Wang, Liu, Dong, Zhang and Tai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Zhang, Shouyao Wang, Shuang Liu, Ruilu Dong, Hang Zhang, Xinghe Tai, Xiantao A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders |
title | A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders |
title_full | A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders |
title_fullStr | A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders |
title_full_unstemmed | A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders |
title_short | A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders |
title_sort | bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464861/ https://www.ncbi.nlm.nih.gov/pubmed/36104988 http://dx.doi.org/10.3389/fpsyt.2022.967074 |
work_keys_str_mv | AT zhangshouyao abibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT wangshuang abibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT liuruilu abibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT donghang abibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT zhangxinghe abibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT taixiantao abibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT zhangshouyao bibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT wangshuang bibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT liuruilu bibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT donghang bibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT zhangxinghe bibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders AT taixiantao bibliometricanalysisofresearchtrendsofartificialintelligenceinthetreatmentofautisticspectrumdisorders |