Prospects for the use of artificial intelligence methods in autism spectrum disorders

Introduction ASD is a heterogeneous group of pathological conditions. Objectives Sensory Functions in Children with Autism Methods A brief review scientific publications presented, formed by the search result for keywords: autism spectrum disorders, artificial intelligence, machine learning. Results Patients respond to sensory information hyper-reactively and hypo-reactively. Patients, regardless age severity ASD, have atypical processing patterns all modalities. Atypical stimuli correlates social, cognitive communication disorders. Conclusions To normalize deviations, it necessary build corrective prognostic models child’s connection environment. Machine learning models, Data Mining methods make medical management decisions develop personalized therapeutic strategies. Disclosure Interest None Declared