Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder discusses the early detection and diagnosis of autism spectrum disorder enabled by artificial intelligence technologies, applications, and therapies. This book will focus on the early diagnosis of ASD through artificial intelligence, such as deep learning and machine learning algorithms, for confirming diagnosis or suggesting the need for further evaluation of individuals. The chapters will also discuss the use of artificial intelligence technologies, such as medical robots, for enhancing the communication skills and the social and emotional skills of children who have been diagnosed with ASD. This book is ideally intended for IT specialists, data scientists, academicians, scholars, researchers, policymakers, medical practitioners, and students interested in how artificial intelligence is impacting the diagnosis and treatment of autism spectrum disorder.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
˙AI-Aided Diagnosis Methods
˙Artificial Intelligence
˙ASD Therapies
˙Autism Spectrum Disorder (ASD)
˙Child Development
˙Early Diagnosis of ASD
˙Early Intervention
˙Machine Learning
˙Medical Imaging
˙Medical Robotics
˙Predictive Analysis for ASD