Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder
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Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder

Sandeep Kautish (Lord Buddha Education Foundation, Nepal & Asia Pacific University, Malaysia) and Gaurav Dhiman (Government Bikram College of Commerce, India)
Pages: 300|DOI: 10.4018/978-1-7998-7460-7
ISBN13: 9781799874607|ISBN10: 1799874605|EISBN13: 9781799874621|ISBN13 Softcover: 9781799874614

Description

Autism Spectrum Disorder (ASD) is known as a type of neuro-disorder in which a person may face a lifetime of problems in interacting and communicating with others. Per medical expects, Autism Disorder can be diagnosed at any stage of life. Autism spectrum disorder (ASD) appears to have a vivid increase over the last couple of years with recent reports revealing that the prevalence of autism spectrum disorder (ASD) among children is continuously increasing. Despite considerable progress in understanding the neurobiology of ASD, established treatments for core symptoms are still not available. It is crucial to provide researchers and clinicians with the most updated information on the clinical features, etiopathogenesis, and therapeutic strategies for patients as well as to shed light on the other psychiatric conditions often associated with ASD.

This book will be one of the very first efforts to accumulate recent research and advances in the field of Autism spectrum disorder early detection and diagnosis enabled by Artificial Intelligence (AI) techniques including apps and therapies. Recent studies reveal that AI-enabled technologies and techniques like medical robots can help children with ASD to develop social skills which can enable them to communicate effectively. Such techniques will not only help them to improve their communication skills but also social and emotional skills as well. AI can also help in early diagnosis of ASD which is extremely important as late diagnosis may delay getting therapies and services that should be available at very early stage. AI-aided diagnosis, like Deep Learning and Machine Learning algorithms, are efficient in the way to confirm of diagnosis or suggest the need for further evaluation.

This book will showcase the recent innovations, trends, and concerns, as well as applied challenges encountered and solutions adopted in the field of AI, enabled diagnosis, screening, and analysis of Autism Spectrum Disorder. The research included will lay down theoretical aspects, framework, system architecture implementation, validation, tools and techniques in relation to uses of AI in Autism Spectrum Disorder.

Table of Contents and List of Contributors

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