I-Corps: An Artificial Intelligence-Powered Mobile-Health Framework Providing Holistic Mental Health Support

I-Corps项目的更广泛影响/商业潜力是开发一个人工智能驱动的网络和移动应用程序，用于心理健康支持。目前，提供个性化、数据驱动的精神卫生保健的能力是一个普遍关注的问题。该技术旨在提供实时压力分析、定制的地理标记资源、简化的数据管理、优化的心理健康转诊匹配以及长期的心理健康跟踪。这是通过提供服务和基于用户需求的用户、雇主和社区组织（cbo）的安全连接来实现的。该应用程序可以为组织提供集成云的仪表板，跟踪其用户（例如员工、学生）的健康资源，同时提供对资源使用情况的洞察，例如社区组织。应用范围包括K-12和高等教育、企业工作场所、军队、医院和公共卫生部门。这些客户群可以利用拟议的技术来改善心理健康结果。I-Corps项目的基础是开发一个移动和网络应用程序，利用人工智能（AI）技术来满足行为健康解决方案的需求。现有系统往往无法向处理精神卫生问题的个人提供及时、个性化的支持，导致干预措施无效和病情恶化。这项拟议中的技术旨在实时洞察用户的心理健康和压力水平，并深入了解用户的健康状况。这可能使学校、医疗保健组织和公司等组织能够定制资源，以支持其用户的心理健康需求。这项研究已经确定了心理健康支持领域的一个关键缺口，特别是缺乏有效的整体和个性化治疗方案。此外，拟议的应用程序旨在为用户提供个性化的心理健康资源、分析和支持。该技术集成了几个利用自然语言处理和机器学习技术的智能框架。人工智能资源匹配框架可以根据用户的输入为用户提供定制化的资源。实时压力分析仪表板可以提供对压力水平的实时洞察。精神健康障碍检测框架可能有助于及早发现这些障碍。拟议的技术可用于解决日益提高的心理健康意识。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of an artificial intelligence-powered web and mobile application for mental health support. Currently, the ability to deliver personalized, data-driven mental health care is a universal concern. The proposed technology is designed to provide real-time stress analysis, customized geotagged resources, streamlined data management, optimized mental health referrals matching, and mental health tracking over time. This is accomplished by offering services and securely linking users, employers, and community-based organizations (CBOs) based on users’ needs. The application may provide organizations with a cloud-integrated dashboard tracking health resources for their users (e.g., employees, students), while providing insights into the use of resources, such as community-based organizations. The applications include K-12 and higher education, corporate workplaces, military, hospitals, and public health departments. These customer segments could leverage the proposed technology to improve mental health outcomes.This I-Corps project is based on the development of a mobile and web application that leverages artificial intelligence (AI) technology to address the need for behavioral health solutions. Existing systems often fail to deliver timely, personalized support to individuals dealing with mental health issues, leading to ineffective interventions and worsening conditions. The proposed technology is designed to deliver real-time insights of a user’s mental health and stress levels, and offer an in-depth understanding of a user’s well-being. This may empower organizations, such as schools, healthcare organizations and corporations to tailor resources to support their users’ mental health needs. This research has identified a critical gap in the mental health support landscape, particularly with the lack of effective holistic and personalized treatment options. In addition, the proposed application is designed to deliver personalized mental health resources, analytics, and support to users. The technology integrates several intelligent frameworks that utilize natural language processing and machine learning techniques. The artificial intelligence resource matching framework may provide customized resources to users based on their input. The real-time stress analytics dashboard may offer insights into stress levels in real-time. The mental health disorder detection framework may enable potential early detection of these disorders. The proposed technology may be used to address the rising awareness of mental health.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.