智能体守护“来自星星的孩子”

Core Insights - Autism is a neurodevelopmental disorder that can be diagnosed as early as 3 years old, yet the average diagnosis age in China is around 4 years, which is beyond the optimal intervention period [1] - The "StellarCare AI" project, led by the Chinese Academy of Sciences, aims to provide innovative solutions for autism patients and their families through precise screening, personalized intervention, and intelligent support [1][2] - The pilot program initiated in March 2023 has shown that StellarCare AI can achieve over 85% accuracy in screening and can advance the diagnosis window to 18 months of age [2] Group 1: Project Overview - StellarCare AI integrates molecular medicine and artificial intelligence to analyze multimodal data for autism screening and intervention [1] - The project is supported by various institutions, including Zhejiang University and Hong Kong University, and aims to create a multimodal AI technology for early autism screening [1][2] Group 2: Application Scenarios - In the family context, StellarCare AI acts as a "family doctor," providing a full-service chain from behavior analysis to personalized intervention and 24/7 AI consultation [3] - In the medical field, it serves as a "medical assistant," interpreting clinical data to enhance research and improve screening efficiency [3] - On a societal level, it functions as an "expert knowledge base," connecting government, hospitals, and research institutions to create a comprehensive support network for autism [3] Group 3: Future Directions - The research team is focused on building a dedicated multimodal database for autism in China and enhancing the AI's learning capabilities to improve screening accuracy and intervention effectiveness [3] - The project emphasizes the importance of technology in addressing social needs and aims to help more children with autism integrate into society [3]