Application of Artificial Intelligence in Clinical Diagnosis of Children with Autism Spectrum Disorders

In recent years, the incidence of autism spectrum disorder has been increasing, traditional diagnostic tools such as the autism diagnostic observation scale - revised”, “the autism diagnostic interview scale”, and intervention measures such as applied behavior analysis, structured education, social story has been applied to clinical, but the early accurate diagnosis and treatment of ASD still faces various challenges. With the development of computer technology, electronic engineering, statistics and other disciplines, clinical medicine has entered the era of intelligence. The application of artificial intelligence in the medical field provides broad prospects for the timeliness and accuracy of ASD diagnosis and the improvement of its core symptoms. The problems of ASD rehabilitation caused by insufficient medical resources and high treatment costs are expected to be solved by the intervention of artificial intelligence. Artificial intelligence (AI) is becoming more and more prominent in the efficient, high-precision and high-stability clinical diagnosis of autism. This paper reviews the literature in recent years, and discusses the prediction, early recognition and diagnosis of autism, as well as the research on auxiliary intervention.