Technological Paths and Future Vision of Artificial Intelligence—Assisted Early Diagnosis and Intervention for Autism
Early diagnosis and intervention of autism can contribute to the improvement of symptoms and society integration.Traditional diagnostic and intervention methods rely on the professionalism of the person involved,which can be extremely time-consuming and energy-consuming.Artificial intelligence(AI)combined with machine learning and deep learning algorithms can help with early diagnosis and improve intervention efficiency.Artificial intelligence(AI)has been widely used in behavioral diagnosis,radiomics and genetic diagnosis and community screening services.It is also applied to educational and social interventions for autism to help improve the quality of community life of this group.Nevertheless,there are still some problems such as lack of information security,difficulty in migrating and limited application of intervention effects,and the robot design to be improved.Future research needs to establish large-scale,secure and sharable autism databases,enhance the transfer and generalization of acquired skills,and improve the appearance and performance design of assistive robots.