Artificial intelligence shows promise as a supportive tool for early screening, but current evidence supports its use as a complement to, rather than replacement for, clinical assessment.
It is argued that future early ASD detection systems should be developed as clinician-supervised decision-support tools rather than autonomous diagnostic instruments.
Wenhao Luo, Z. Yin, Jianbiao Dai· Diagnostics· 0 citations
Autism Spectrum Disorder (ASD) is a neurological and developmental condition characterized by challenges in social interaction, communication (both verbal and non-verbal), and repetitive behaviours. While genetics play a key role in its onset, early diagnosis remains essential for effective intervention. Machine learni...
Devireddy Mamatha, K. Maheswari· 2026 6th International Confe...· 0 citations
A comprehensive review of recent advancements in ASD research, with particular emphasis on neuroimaging, artificial intelligence (AI), and machine learning (ML)-based diagnostic approaches, highlights the growing potential of AI-driven tools for supporting early ASD diagnosis and emphasizes the need for standardized pr...
Kuljeet Singh, Khushi Mogha, S. Moctar· Neurological Sciences· 0 citations
Based on the evaluated studies, transfer learning with diverse datasets and modalities has great promise for early ASD diagnosis, and a hybrid transfer learning-based framework is advised to assist clinicians and therapists in accurately diagnosing and assessing ASD severity.
R. Thillaikarasi, P. Kumaresan· International Conference on...· 0 citations
AI shows promise for pediatric NDD care, but equitable clinical adoption will require inclusive research, external validation, and equity‐focused implementation, with particular attention to equity considerations.
Florida Uzoaru, O. Oleribe, U. Nwaozuru et al.· Pediatric Investigation· 0 citations
It is argued that AI’s most important contribution to autism care is unlikely to lie in marginal improvements in classification accuracy alone, and its potential value lies in expanding access, supporting task-sharing, shortening diagnostic pathways, enabling population-oriented screening, and reaching under-recognised...
Xugao Han, Lingyan Weng, Houxi Xu· Frontiers in Public Health· 0 citations
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