SCC-PG: Bridge: An AI-Enabled Platform to Support Coordinated Care for Children with Autism

SCC-PG：Bridge：支持自闭症儿童协调护理的人工智能平台

• 批准号: 2306596
• 负责人: Mimi Xie
• 金额: $ 15万
• 依托单位: University of Texas at San Antonio
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2306596&HistoricalAwards=false
• 关键词: SCC; PG; Bridge; AI; Enabled

Children with autism spectrum disorder (CWA) often engage in severe problem behavior, and thus require long-term care with individualized clinical assessment, treatment, and intervention. Applied behavior analysis (ABA) therapy, considered an evidence-based best practice, can be time-consuming, resource intensive, and prone to human bias. This Smart and Connected Communities Planning Grant (SCC-PG) project seeks to co-design an AI-based solution for collecting behavior data for automatic measurement of severe behaviors (e.g., frequency, intensity, latency, etc.), assisting diagnosis and treatment decisions, and communicating to patients and families in real-time for early intervention.The project team partners with a range of community stakeholders in a pilot study in San Antonio, TX for coordinated care of CWA through an AI-augmented platform. The planning process begins with identifying key platform parameters including data types, privacy concerns, main function modules, and expected performance. Different AI algorithms are examined for fusing multi-modal data to inform ABA. Post-survey and focus groups are conducted to uncover the effects of incorporating the IoT-Edge-Cloud prototype into clinical practices. The project has the potential to improve health outcomes for autistic children and the well-being of their families.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

患有自闭症谱系障碍（CWA）的儿童往往会有严重的问题行为，因此需要长期护理，并进行个性化的临床评估，治疗和干预。应用行为分析（阿坝）疗法，被认为是一种基于证据的最佳实践，可能是耗时的，资源密集型的，并且容易受到人为偏见的影响。这个智能互联社区规划资助（SCC-PG）项目旨在共同设计一个基于人工智能的解决方案，用于收集行为数据，以自动测量严重行为（例如，频率、强度、等待时间等），协助诊断和治疗决策，并实时与患者和家属沟通，以进行早期干预。该项目团队与一系列社区利益相关者合作，在德克萨斯州圣安东尼奥进行试点研究，通过人工智能增强平台协调CWA的护理。规划过程从确定关键平台参数开始，包括数据类型、隐私问题、主要功能模块和预期性能。不同的人工智能算法进行检查融合多模态数据，以通知阿坝。进行后调查和焦点小组，以揭示将物联网边缘云原型纳入临床实践的效果。该项目有可能改善自闭症儿童的健康状况及其家庭的福祉。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。