Revolutionizing Autism Spectrum Disorder Diagnosis: Harnessing the Power of Machine Learning and MRI for Enhanced Neurodevelopmental Care

A complex neurodevelopmental disorder, Autism Spectrum Disorder (ASD) is characterized by restricted and repetitive activities as well as difficulties with social interaction. According to statistical reports taken on 2023, about one in 36 children are now diagnosed with autism worldwide
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. Early detection and intervention significantly improve their social and personal life, even though effective therapies for ASD are still elusive. In the proposed work, an artificial intelligence (AI)-based novel method for early autism identification is presented. The technique examines patterns in MRI images using various ML algorithms. ABIDE website provides MRI image datasets for the work. A specialized website that allows users to upload their MRI images for autism diagnosis has been built by utilizing this AI-based method. An accuracy of 92% emphasizes the system's potential as a trustworthy technique for early ASD detection. By strengthening early intervention techniques and enhancing overall ASD treatment outcomes, the innovative technique would represent significant advancement.Clinical Relevance— This work provides significant parameter to diagnosis and treat ASD by the Neurosurgeons and the accuracy of ASD detection would be 95%.