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

Published online by Cambridge University Press:  19 July 2023

A. Sidenkova  and
V. Litvinenko
A. Sidenkova*
Affiliation:
Psychiatry, Ural State Medical University, Yekaterinburg, Russian Federation
V. Litvinenko
Affiliation:
Psychiatry, Ural State Medical University, Yekaterinburg, Russian Federation
*
*Corresponding author.

Abstract

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Introduction

ASD is a heterogeneous group of pathological conditions.

Objectives

Sensory Functions in Children with Autism

Methods

A brief review of scientific publications is presented, formed by the search result for the keywords: autism spectrum disorders, artificial intelligence, machine learning.

Results

Patients with ASD respond to sensory information hyper-reactively and hypo-reactively. Patients, regardless of age and severity of ASD, have atypical information processing patterns in all sensory modalities. Atypical processing of stimuli correlates with social, cognitive and communication disorders.

Conclusions

To normalize sensory deviations, it is necessary to build corrective and prognostic models of the child’s connection with the environment. Machine learning models, Data Mining methods to make medical management decisions and develop personalized therapeutic strategies.

Disclosure of Interest

None Declared

Type
Abstract
Information
European Psychiatry , Volume 66 , Special Issue S1: Abstracts of the 31st European Congress of Psychiatry , March 2023 , pp. S1034 - S1035
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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