Artificial Intelligence in Autism Spectrum Disorder Diagnosis: A Scoping Review of Face, Voice, and Text Analysis Methods
This review demonstrates artificial intelligence's significant role in diagnosing autism spectrum disorder (ASD). These AI-driven approaches can complement traditional diagnostic methods, potentially leading to earlier interventions and improved outcomes for individuals with ASD.
Authors
- Hassan Shahrokhi (ORCID: https://orcid.org/0000-0003-3640-5344)
- Saeed Pirmoradi (ORCID: https://orcid.org/0000-0001-8786-8723)
- Afsoon Asadzadeh (ORCID: https://orcid.org/0000-0002-2511-3357)
- Peyman Rezaei‐Hachesu (ORCID: https://orcid.org/0000-0002-3980-5100)
- Fatemeh Mohammadi (ORCID: https://orcid.org/0000-0001-5950-6717)
- Ali Moghtader
Institutions
- Tabriz University of Medical Sciences (IR)
- University of Tabriz (IR)
Publication Details
- Journal
- Health Science Reports
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1002/hsr2.71476
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tabriz University of Medical Sciences
- University of Tabriz