Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults

利用技术和人工智能方法促进老年人的独立性和适应能力

• 批准号: 10678969
• 负责人: Peter M. Abadir
• 金额: $ 397.75万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10678969
• 关键词: Acceleration; Aging; Alzheimer' s Disease; American; Area; Artificial Intelligence; Biometry; Businesses; Capital; Caregivers; Caring; Center Core Grants; Chronic Disease; Clinic; Clinical; Clinical Services; Communication; Communities; Community of Practice; Computer Vision Systems; Country; Data; Data Science; Dedications; Dementia; Development; Ecosystem; Education; Elderly; Endowment; Equity; Funding; Gerontology; Goals; Guidelines; Health; Health Personnel; Health Promotion; Health Resources; Health Services Research; Healthcare; Healthcare Industry; Healthcare Systems; Human; Image; Impaired cognition; Individual; Industry; Infrastructure; Institution; International; Iowa; Leadership; Medical; Mentors; Methods; Mission; Movement Disorders; Natural Language Processing; Nerve Degeneration; Older Population; Outcome; Parkinson Disease; Personal Satisfaction; Persons; Phase; Pilot Projects; Policies; Population Heterogeneity; Privatization; Process; Quality of life; Records; Reporting; Research; Research Personnel; Resources; Robot; Rural Community; Rural Health; Science; Scientific Advances and Accomplishments; Technology; Testing; Training; Training and Infrastructure; United States; Universities; Urban Community; Validation; Veterans; Vision; Voice; Work; arm; artificial intelligence algorithm; clinical translation; collaboratory; deep learning; design; empowerment; experience; feasibility testing; functional decline; improved; industry partner; innovation; interdisciplinary collaboration; interest; new technology; next generation; novel; pilot test; product development; programs; resilience; rural underserved; searchable database; sensor; skills; speech processing; stakeholder perspectives; technology development; technology platform; tool; trend; underserved rural area; urban area; urban underserved

The overarching goal of this application is to build an Artificial Intelligence (AI) and Technology Collaboratory (AITC) ecosystem that will serve as a national resource to promote the development and implementation of novel AI and technology approaches to improve care and health outcomes for older Americans. The specific aims are: 1) To engage AI and geriatric/gerontology investigators from across the country and to identify, validate, test, and develop new AI and technologies relevant to improving the health and wellbeing of older adults through crucial pilot study mechanisms; 2) To serve as a national resource center that stimulates and leads the development and implementation of effective novel AI and technology approaches and products that will promote the health, wellbeing and independence of all older Americans; 3) To support the engagement of stakeholders in AI research; 4) To build an ecosystem of overlapping innovation and business, academic, and communities- of-practice networks ; and 5) To provide highest quality expertise, support, and infrastructure needed to disseminate technical and policy guidelines and best practices for effectively incorporating AI approaches and technology for older Americans, in partnership with private industry, angel investors, venture capital firms, and healthcare systems. This AITC is directed by a multi-PI interdisciplinary team led by two world-class experienced investigators who have long worked successfully in the fields of AI and technology development areas partnered with investigators who have long and successfully worked at the translational interface that connects real-world medical, cognitive, and functional declines that impact older adults with medical and technological solutions. Each of these investigators has a complementary skill set and a long track records of organizing transdisciplinary teams and consortiums of investigators around core themes. This interdisciplinary, accomplished, and highly visible leadership team will work together to develop vision for the next generation of AI in aging science and to build a scientifically and culturally diverse community of AI scholars and trainees around Aging. To achieve our goals, we designed the JHU AITC to have robust scientific and technological expertise that are described in eight core components. This infrastructure will support the implementation of stakeholder input and the identification of relevant technologies and investigators locally and nationally through a vetting and feasibility testing process of both technology and data processes. It will include a pilot testing phase and related oversight process. We have also established a key partnership with the Iowa office of Rural Health and Veterans Rural Health Resource Centers Leadership and with organizations within Johns Hopkins University that focus on improvements in the health and well-being of older adults in underserved urban communities. Connections with key academic, industry partners have also been established to accelerate the development of relevant technologies into products. This team is dedicated to developing the next AI scientific advances and disseminating resulting strategies into practice and policy that will maximize health, well-being, and independence for older adults.

该应用程序的总体目标是建立一个人工智能（AI）和技术合作实验室 （AITC）生态系统将作为国家资源来促进新颖的开发和实施 人工智能和技术方法可改善美国老年人的护理和健康结果。具体目标是： 1) 让全国各地的人工智能和老年学/老年学研究人员参与进来，并识别、验证、测试、 并通过以下方式开发与改善老年人健康和福祉相关的新人工智能和技术 关键的试点研究机制； 2）作为国家资源中心，激励和引领 开发和实施有效的新型人工智能和技术方法和产品，以促进 所有美国老年人的健康、福祉和独立性； 3）支持利益相关者的参与 人工智能研究； 4）构建创新与商业、学术、社区重叠的生态系统—— 实践网络； 5) 提供所需的最高质量的专业知识、支持和基础设施 传播有效纳入人工智能方法的技术和政策指南以及最佳实践 与私营企业、天使投资者、风险投资公司合作，为美国老年人提供技术 医疗保健系统。该 AITC 由多位 PI 跨学科团队指导，该团队由两位世界级经验丰富的人领导 长期在人工智能和技术开发领域取得成功的研究人员合作 与长期成功致力于连接现实世界的翻译界面的研究人员合作 医疗、认知和功能下降影响老年人的医疗和技术解决方案。 这些研究人员中的每一位都拥有互补的技能和组织跨学科的长期记录 围绕核心主题的研究团队和联盟。这个跨学科的、有成就的、高度 可见的领导团队将共同努力，为老龄科学领域的下一代人工智能制定愿景，并 围绕老龄化问题，建立一个由人工智能学者和学员组成的科学和文化多元化社区。为了实现我们的 为了实现这一目标，我们将 JHU AITC 设计为拥有强大的科学和技术专业知识，这些知识和技术专业知识在八个方面进行了描述 核心组件。该基础设施将支持利益相关者输入和识别的实施 通过审查和可行性测试过程，在当地和全国范围内引进相关技术和研究人员 技术和数据流程。它将包括试点测试阶段和相关的监督流程。我们 还与爱荷华州农村卫生和退伍军人农村卫生资源办公室建立了重要的合作伙伴关系 中心领导力以及约翰·霍普金斯大学内专注于改进的组织 服务欠缺的城市社区老年人的健康和福祉。与主要学术界的联系， 还成立了行业合作伙伴，加速相关技术的开发 产品。该团队致力于开发下一代人工智能科学进步并传播成果 将战略落实到实践和政策中，最大限度地提高老年人的健康、福祉和独立性。

项目成果

Redefining tissue specificity of genetic regulation of gene expression in the presence of allelic heterogeneity.

重新定义等位基因异质性存在下基因表达遗传调控的组织特异性。

• 发表时间: 2022-02-03
• 影响因子: 9.8
• 作者: Arvanitis, Marios;Tayeb, Karl;Strober, Benjamin J;Battle, Alexis
• 通讯作者: Battle, Alexis

Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care.

人工智能和技术合作实验室：创新衰老研究和阿尔茨海默病护理。

• 发表时间: 2024-04
• 作者: Abadir, Peter;Oh, Esther;Chellappa, Rama;Choudhry, Niteesh;Demiris, George;Ganesan, Deepak;Karlawish, Jason;Marlin, Benjamin;Li, Rose M;Dehak, Najim;Arbaje, Alicia;Unberath, Mathias;Cudjoe, Thomas;Chute, Christopher;Moore, Jason H;Phan, Phi
• 通讯作者: Phan, Phi

Artificial Intelligence in Geriatrics: Riding the Inevitable Tide of Promise, Challenges, and Considerations.

老年病学中的人工智能：驾驭着不可避免的承诺、挑战和考虑的潮流。

• 发表时间: 2024-02-01
• 作者: Abadir, Peter;Chellappa, Rama
• 通讯作者: Chellappa, Rama

Artificial intelligence and technology collaboratories: Empowering innovation in AI + AgeTech.

人工智能和技术合作伙伴：赋能人工智能时代科技创新。

• 发表时间: 2024-02-26
• 影响因子: 6.3
• 作者: Li, Rose M;Abadir, Peter M;Battle, Alexis;Chellappa, Rama;Choudhry, Niteesh K;Demiris, George;Ganesan, Deepak;Karlawish, Jason;Moore, Jason H;Walston, Jeremy D
• 通讯作者: Walston, Jeremy D

Correction to: Artificial Intelligence in Geriatrics: Riding the Inevitable Tide of Promise, Challenges, and Considerations.

更正：老年病学中的人工智能：驾驭着不可避免的承诺、挑战和考虑的潮流。

• 发表时间: 2024-05-01