Events

In recent years, advances in speech processing, computer vision, natural language processing, emotional computing, and machine learning have been gradually applied to automatic analysis and modeling of medical and behavioral data. It will be helpful for overcoming some limitations in the real clinical setting. Autism Spectrum Disorder (ASD), also known as autism, is characterized by high prevalence (1/68) (Christensen et al., 2016), early onset (18 months before), unknown etiology, social interaction and communication disorders, repetitive behavior, and narrow interests and activities. ASD is a series of highly heterogeneous disorders of nervous system development. Early diagnosis and intervention of ASD are crucial to the prognosis of ASD. Through a series of keynote speeches, Q&A sessions, and discussion sessions, the forum explored the challenges, opportunities, and research findings in assisting the diagnosis and treatment of ASD using AI and quantitative data analysis techniques. At the same time, we invited experts from the fields of psychology, global health, and social sciences to share their research findings and explore interdisciplinary research in the field of autism. Nearly 150 experts and scholars from universities, research institutes, medical institutions, industry, foundations, media and other industries participated in this event.