TY  - JOUR
AU  - Lawan, Abdulmalik Ahmad
AU  - Abdullahi, Hauwa Zakariyya
AU  - Abdullahi, Abdullahi Yunusa
AU  - Tahir, Sadiya
PY  - 2025
DA  - 2025/08/15
TI  - A Systematic Literature Review on the Application of Explainable AI Approaches in the Assessment of Autism Spectrum Disorder
JO  - OBM Neurobiology
SP  - 298
VL  - 09
IS  - 03
AB  - Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder associated with significant heterogeneity in symptoms and comorbid conditions. Studies have shown the value of early and accurate diagnosis in mitigating the associated social and behavioral challenges. Recently, studies have demonstrated the potential of machine learning (ML) models in identifying ASD patterns from neuroimaging, genetic, and behavioral data. However, the limited interpretability of these models poses a barrier to their clinical adoption. Explainable Artificial Intelligence (XAI) offers a solution that allows clinicians to understand how diagnostic decisions are made. Based on a systematic literature review, the present study provides a thematic synthesis of 34 relevant studies that could assist in the creation of proper clinical instruments and identifies key challenges and the need for future studies to propose clinician-centered explainability metrics.
SN  - 2573-4407
UR  - https://doi.org/10.21926/obm.neurobiol.2503298
DO  - 10.21926/obm.neurobiol.2503298
ID  - Lawan2025
ER  -