Can Autism be Catered with Artificial Intelligence-Assisted Intervention Technology? A Literature Review
Muhammad Shoaib Jaliawala, Rizwan Ahmed Khan

TL;DR
This literature review examines current AI-assisted intervention technologies for Autism Spectrum Disorder, highlighting promising applications but also emphasizing the need for standardized, clinically validated research and development of effective AI algorithms.
Contribution
It identifies the gap between research and clinical acceptance, advocating for standardized AI intervention methods and comprehensive databases for ASD treatment.
Findings
Technology-based interventions are promising for ASD.
Most studies lack standardized research design.
Clinicians remain skeptical due to non-empirical results.
Abstract
This article presents an extensive literature review of technology based intervention methodologies for individuals facing Autism Spectrum Disorder (ASD). Reviewed methodologies include: contemporary Computer Aided Systems (CAS), Computer Vision Assisted Technologies (CVAT) and Virtual Reality (VR) or Artificial Intelligence (AI)-Assisted interventions. The research over the past decade has provided enough demonstrations that individuals with ASD have a strong interest in technology based interventions, which are useful in both, clinical settings as well as at home and classrooms. Despite showing great promise, research in developing an advanced technology based intervention that is clinically quantitative for ASD is minimal. Moreover, the clinicians are generally not convinced about the potential of the technology based interventions due to non-empirical nature of published results. A…
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