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

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

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

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

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