SynthesisFrontiers in psychiatry2022
A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders.
Synthesis in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Gut microbiota and inflammasome-mediated pyroptosis: a bibliometric analysis from 2014 to 2023.Frontiers in microbiology · 2024Pooled it
- Neuroplasticity mechanisms of NDBIs in autism: a review from brain connectivity to behavioral improvement.European journal of medical research · 2026Review
- Evolution of fragile X syndrome and neurodevelopmental disorders research: a Scopus-based bibliometric analysis.Journal of Yeungnam medical science · 2026Article
- Trends in research related to anxiety disorders on the autism spectrum: a bibliometric study.International journal of developmental disabilities · 2025Review
- The Current Research Landscape on the Machine Learning Application in Autism Spectrum Disorder: A Bibliometric Analysis From 1999 to 2023.Current neuropharmacology · 2025Article
- Mapping the structure of biomarkers in autism spectrum disorder: a review of the most influential studies.Frontiers in neuroscience · 2024Review
- Twenty years of research on borderline personality disorder: a scientometric analysis of hotspots, bursts, and research trends.Frontiers in psychiatry · 2024Review
- The Face of Autism in Israel.Neuropsychiatric disease and treatment · 2024Review
- Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis.Current neuropharmacology · 2024Review
- Breaking Barriers-The Intersection of AI and Assistive Technology in Autism Care: A Narrative Review.Journal of personalized medicine · 2023Review
- An Umbrella Review of the Fusion of fMRI and AI in Autism.Diagnostics (Basel, Switzerland) · 2023Review
- Trends in Autism Spectrum-Related Motherhood Research: A Bibliometric Study.European journal of investigation in health, psychology and education · 2023Review
- Mapping the landscape of machine learning in chronic disease management: A comprehensive bibliometric study.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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 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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.