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Peer-reviewed

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

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

Frontiers in Psychiatry · 2022

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Summary

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: , the highest cited and co-cited articles were Dautenhahn (Socially

Subject
Measurement methods & nutrient profiling
Source type
Peer-reviewed study
System type
Other
DOI
10.3389/fpsyt.2022.967074
Catalogue ID
SNmoj1ypl8-ddnodg
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