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人工智能（AI）和技术协作 （AITC）生态系统将作为国家资源，以促进新颖的发展和实施 AI和技术方法可以改善老年人的护理和健康成果。具体目的是： 1）参与来自全国各地的AI和老年/老年医学研究人员，并确定，验证，测试， 并开发与通过改善老年人健康和福祉相关的新的AI和技术 关键的试点研究机制； 2）作为一个刺激和领导的国家资源中心 开发和实施有效的新颖AI和技术方法和产品，这些方法和产品将促进 所有老年人的健康，福祉和独立性； 3）支持利益相关者的参与 在AI研究中； 4）建立一个重叠的创新和商业，学术和社区的生态系统 - 实践网络； 5）提供最高质量的专业知识，支持和基础设施 传播有效纳入AI方法的技术和政策指南以及最佳实践 美国老年人的技术，与私营企业，天使投资者，风险投资公司和 医疗保健系统。该AITC由由两个世界一流的经验丰富的多PI跨学科团队执导 长期以来一直在AI和技术开发领域成功工作的调查人员合作 与经过长期合作的调查人员在连接现实世界的翻译界面上工作 医学，认知和功能性的下降，它通过医学和技术解决方案影响老年人。 这些调查人员中的每一个都有一个互补的技能和组织跨学科的悠久记录 核心主题的调查人员团队和财团。这个跨学科，成就和高度 可见的领导团队将共同努力，为下一代AI衰老科学和 建立一个科学和文化上多样化的AI学者和学员的社区。实现我们的 目标，我们设计了JHU AITC具有强大的科学和技术专业知识 核心组件。该基础架构将支持实施利益相关者的投入和身份证明 通过审查和可行性测试过程，相关技术和研究人员在本地和全国范围内 技术和数据过程。它将包括试点测试阶段和相关的监督过程。我们 还与爱荷华州农村卫生和退伍军人乡村卫生资源建立了重要的合作伙伴关系 中心领导和约翰·霍普金斯大学的组织，专注于改进 在服务不足的城市社区中老年人的健康和福祉。与关键学术的联系， 还建立了行业合作伙伴，以加速相关技术的发展 产品。该团队致力于发展下一个AI科学进步并传播结果 实践和政策的策略将使老年人最大化健康，福祉和独立性。

项目成果

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。

• DOI: 10.1093/gerona/glae111
• 发表时间: 2024
• 期刊: The journals of gerontology. Series A, Biological sciences and medical sciences

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。

• DOI: 10.1002/alz.13710
• 发表时间: 2024
• 期刊: Alzheimer's & dementia : the journal of the Alzheimer's Association
• 作者: Abadir,Peter;Oh,Esther;Chellappa,Rama;Choudhry,Niteesh;Demiris,George;Ganesan,Deepak;Karlawish,Jason;Marlin,Benjamin;Li,RoseM;Dehak,Najim;Arbaje,Alicia;Unberath,Mathias;Cudjoe,Thomas;Chute,Christopher;Moore,JasonH;Phan,Phi
• 通讯作者: Phan,Phi

Translating clinical notes into quantitative measures-a real-world observation on the response to cholinesterase inhibitors or selective serotonin reuptake inhibitors prescribed to outpatients with dementia using electronic medical records.

• DOI: 10.3389/fphar.2023.1177026
• 发表时间: 2023
• 期刊: FRONTIERS IN PHARMACOLOGY
• 影响因子: 5.6
• 作者: Chotiyanonta, Jill S. S.;Onda, Kengo;Nowrangi, Milap A. A.;Li, Xin;Xu, Xin;Adams, Roy;Lyketsos, Constantine G. G.;Zandi, Peter;Oishi, Kenichi
• 通讯作者: Oishi, Kenichi

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

• DOI: 10.1016/j.ajhg.2022.01.002
• 发表时间: 2022-02-03
• 期刊: American journal of human genetics
• 影响因子: 9.8
• 作者: Arvanitis M;Tayeb K;Strober BJ;Battle A
• 通讯作者: Battle A

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。

• DOI: 10.1111/jgs.18804
• 发表时间: 2024
• 期刊: Journal of the American Geriatrics Society
• 影响因子: 6.3
• 作者: Li,RoseM;Abadir,PeterM;Battle,Alexis;Chellappa,Rama;Choudhry,NiteeshK;Demiris,George;Ganesan,Deepak;Karlawish,Jason;Moore,JasonH;Walston,JeremyD
• 通讯作者: Walston,JeremyD