AI-Driven Arabic Linguistics for Autism Spectrum Disorder: A Systematic Review and Conceptual Framework

Authors

• Jamal K. Abbas, College of Engineering Techniques, Al-Nisour University, Baghdad, IraqFollow
• Israa Abed Jawad, College of Education, Al-Nisour University, Baghdad, Iraq
• Qamar Ali Abdulridha, College of Engineering Techniques, Al-Nisour University, Baghdad, Iraq
• Haytham Falih Hassan, College of Engineering Techniques, Al-Nisour University, Baghdad, Iraq
• Dena Qusay Alrawi, College of Education, Al-Nisour University, Baghdad, Iraq
• Ula Kamal Abdulkadir, Ishtar Medical and Technical Institute, Baghdad, Iraq
• Amal Hassan J. Al-Bazzaz, College of Education, Al-Nisour University, Baghdad, Iraq
• Riyam Zaid Alameri, College of Engineering Techniques, Al-Nisour University, Baghdad, Iraq

Abstract

ASD is a complicated neurodevelopmental condition where diagnosis and intervention still depend on subjective behavioral observation. These challenges, however, are greater in Arabic-speaking contexts with scant, standardized diagnostic tools, limited linguistic resources, and a broad application of AI solutions developed primarily for English language data. This paper implements a systematic review of a conceptual framework that uses computational linguistics, NLP, and AI to support ASD early screening and speech-language intervention within the Arabic-speaking population. Rather than reporting empirical findings, the paper synthesizes recent peer-reviewed literature to identify linguistically-anchored ASD-related markers suitable for computational analysis, encompassing echolalia, atypical pronoun usage, pragmatic impairments, and prosodic irregularity. Based on the synthesis, this paper therefore proposes an ethically-informed Arabic NLP framework to underpin future empirical development and clinical validation. By synthesizing prior knowledge and highlighting the gap methodologically and linguistically, this work aims to achieve a structured and cautious foundation for future research.

First Page

192

Last Page

196

Recommended Citation

Abbas, Jamal K.; Jawad, Israa Abed; Abdulridha, Qamar Ali; Hassan, Haytham Falih; Alrawi, Dena Qusay; Abdulkadir, Ula Kamal; Al-Bazzaz, Amal Hassan J.; and Alameri, Riyam Zaid (2026) "AI-Driven Arabic Linguistics for Autism Spectrum Disorder: A Systematic Review and Conceptual Framework," Al-Nisour Journal for Medical Sciences: Vol. 8: Iss. 2, Article 10.
DOI: https://doi.org/10.70492/2664-0554.1179