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How Technology Advances Research and Practice in Autism Spectrum Disorder: A Narrative Review on Early Detection,
Ziqian Shen1,2, Chi-Lin Yu2
1Department of Psychology, University of Michigan, Ann Arbor, MI 48019, USA.
Brain Sciences
|August 28, 2025
Summary
Technology significantly advances autism spectrum disorder (ASD) research and practice. Innovations in hardware and software, including AI and neuroimaging, improve early detection, diagnosis, and interventions for ASD.
Area of Science:
- Neuroscience
- Developmental Psychology
- Biomedical Engineering
Background:
- Autism spectrum disorder (ASD) presents complex challenges in diagnosis and intervention.
- Technology's pervasive influence necessitates exploring its role in ASD research and clinical practice.
Purpose of the Study:
- To review how technological advancements enhance early detection, subtype stratification, and intervention for ASD.
- To discuss technology as a sociocultural context for future ASD assessments, diagnoses, and research.
Main Methods:
- Narrative review of current literature on technology in ASD.
- Analysis of hardware and software advancements (neuroimaging, telehealth, AI).
Main Results:
- Technology, including neuroimaging, telehealth, and AI, significantly improves early ASD detection and intervention.
- Technological tools offer potential for more precise subtype stratification in ASD.
Conclusions:
- Technological integration is crucial for advancing ASD research and clinical practice.
- Future ASD assessments and research should consider technology as a key sociocultural factor.
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