Application of artificial intelligence in autism spectrum disorder rehabilitation

YOU Jia, LI You-jun, CHEN Yan-ni

Chinese Journal of Child Health Care ›› 2020, Vol. 28 ›› Issue (8) : 883-886.

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Chinese Journal of Child Health Care ›› 2020, Vol. 28 ›› Issue (8) : 883-886. DOI: 10.11852/zgetbjzz2019-1215

Application of artificial intelligence in autism spectrum disorder rehabilitation

  • YOU Jia 1, LI You-jun 2, CHEN Yan-ni3, 4, 5
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Abstract

Autism spectrum disorder (ASD) is a series of neurodevelopmental diseases with retarding social-emotional interaction, language and nonlinguistic communication, as well as fellowship with peers, resulting in inferior social development.Conventional diagnostic instruments such as Autism Diagnostic Observation Schedule-Revised (ADOS-R) and Autism Diagnostic Interview (ADI-R) have been used in screening, and methods of Applied Behavior Analysis (ABA), Treatment and Education of Autistic and Communication Handicapped Children (TEACCH), as well as Social Story have been applied in treatments.However, great challenges are still in front of the facts of early accurate diagnosis and workable intervene with ASD.Rapid development of artificial intelligence (AI) has led medicine into a smart age.With the application of AI in medicine, ASD have the potential to be identified timely and accurately, and get progress in treatment in the core symptoms.Meanwhile, AI also makes it possible to better resolve the issues of inadequate medical resources and large treatment costs.This article has reviewed recent literature on AI in ASD and unveiled the research results related to machine learning, virtue reality technology, robot--mediated intervention, and the ethics and prospect of AI in autism rehabilitation.

Key words

autism spectrum disorder / artificial intelligence / robot-mediated intervention / virtual reality technology / ethics

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YOU Jia, LI You-jun, CHEN Yan-ni. Application of artificial intelligence in autism spectrum disorder rehabilitation[J]. Chinese Journal of Child Health Care. 2020, 28(8): 883-886 https://doi.org/10.11852/zgetbjzz2019-1215

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