DECODING AUTISM SPECTRUM: AI'S ROLE FOR DIAGNOSIS AND UNDERSTANDING AUTISM BETTER

Autism Spectrum Disorder (ASD) is a complex neurological disorder that hinders communication and development among individuals, especially children. The aetiology of the disorder is unknown and is often diagnosed late due to diverse and changing symptoms. Individuals face persistent challenges in social interactions due to the condition. This paper accentuates the integration of emerging Artificial Intelligence and Machine Learning technologies with ASD, focusing on early detection, pattern recognition, and therapeutic support.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-15
DOI
https://doi.org/10.5281/zenodo.17732097
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
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article

DECODING AUTISM SPECTRUM: AI'S ROLE FOR DIAGNOSIS AND UNDERSTANDING AUTISM BETTER

Zenodo (CERN European Organization for Nuclear Research)
Autism Spectrum Disorder Research
article

DECODING AUTISM SPECTRUM: AI'S ROLE FOR DIAGNOSIS AND UNDERSTANDING AUTISM BETTER

article en

Abstract

Autism Spectrum Disorder (ASD) is a complex neurological disorder that hinders communication and development among individuals, especially children. The aetiology of the disorder is unknown and is often diagnosed late due to diverse and changing symptoms. Individuals face persistent challenges in social interactions due to the condition. This paper accentuates the integration of emerging Artificial Intelligence and Machine Learning technologies with ASD, focusing on early detection, pattern recognition, and therapeutic support.

Zenodo (CERN European Organization for Nuclear Research)
University College for Women (IN), Artificial Intelligence in Medicine (Canada) (CA)
Reduced inequalities
Openalex Percentile: Top 40%
Autism Spectrum Disorder Research
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