ReviewSoa--ch'ongsonyon chongsin uihak = Journal of child & adolescent psychiatry2019
The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review.
Review in Soa--ch'ongsonyon chongsin uihak = Journal of child & adolescent psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses 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
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.
- Early Identification of Autism Using Cry Analysis: A Systematic Review and Meta-analysis of Retrospective and Prospective Studies.Journal of autism and developmental disorders · 2026Pooled it
- Implementation of generative AI for the assessment and treatment of autism spectrum disorders: a scoping review.Frontiers in psychiatry · 2025Pooled it
- Pediatric Autism Diagnosis Accuracy and Confidence: A Comparison of Experienced and Inexperienced Clinicians Making Decisions with and without AI Decision Support.Research square · 2026Article
- Home-based eye tracking for early autism screening: a scoping review of approaches, evidence, and implementation challenges.BMC psychiatry · 2026Article
- Label leakage unmasked: a trustworthy-AI audit of autism screening models using the CLEAR-RD framework.Frontiers in public health · 2026Article
- Autism spectrum disorder detection using diffusion tensor imaging and machine learning.PLOS digital health · 2025Article
- The role of machine learning in autism spectrum disorder assessment and management.Pediatric research · 2025Review
- How well does GPT-4 perform on an emergency medicine board exam? A comparative assessment.CJEM · 2025Article
- Artificial Intelligence in Autism Spectrum Disorder Diagnosis: A Scoping Review of Face, Voice, and Text Analysis Methods.Health science reports · 2025Review
- Semi-Automated Multi-Label Classification of Autistic Mannerisms by Machine Learning on Post Hoc Skeletal Tracking.Autism research : official journal of the International Society for Autism Research · 2025Article
- AI-assisted early screening, diagnosis, and intervention for autism in young children.Frontiers in psychiatry · 2025Review
- Speech pattern disorders in verbally fluent individuals with autism spectrum disorder: a machine learning analysis.Frontiers in neuroinformatics · 2025Article
- Diagnosing autism spectrum disorder based on eye tracking technology using deep learning models.Frontiers in medicine · 2025Article
- Autism Spectrum Disorders: Etiology, Epidemiology, and Challenges for Public Health.Medical science monitor : international medical journal of experimental and clinical research · 2024Review
- Autism Detection in Children: Integrating Machine Learning and Natural Language Processing in Narrative Analysis.Behavioral sciences (Basel, Switzerland) · 2024Article
- Starting the Conversation Around the Ethical Use of Artificial Intelligence in Applied Behavior Analysis.Behavior analysis in practice · 2024Review
- The Promises and Possibilities of Artificial Intelligence in the Delivery of Behavior Analytic Services.Behavior analysis in practice · 2024Review
- Review
- [A review of studies on visual behavior analysis aided diagnosis of autism spectrum disorders].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Review
- End-to-End Model-Based Detection of Infants with Autism Spectrum Disorder Using a Pretrained Model.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe detection of autism spectrum disorder (ASD) is based on behavioral observations. To build a more objective datadriven method for screening and diagnosing ASD, many studies have attempted to incorporate artificial intelligence (AI) technologies. Therefore, the purpose of this literature review is to summarize the studies that used AI in the assessment process and examine whether other behavioral data could potentially be used to distinguish ASD characteristics.
methodsBased on our search and exclusion criteria, we reviewed 13 studies.
resultsTo improve the accuracy of outcomes, AI algorithms have been used to identify items in assessment instruments that are most predictive of ASD. Creating a smaller subset and therefore reducing the lengthy evaluation process, studies have tested the efficiency of identifying individuals with ASD from those without. Other studies have examined the feasibility of using other behavioral observational features as potential supportive data.
conclusionWhile previous studies have shown high accuracy, sensitivity, and specificity in classifying ASD and non-ASD individuals, there remain many challenges regarding feasibility in the real-world that need to be resolved before AI methods can be fully integrated into the healthcare system as clinical decision support systems.
Indexed as
Identifiers
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.