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Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care.
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, Phillip; Samus, Quincy; Schoenborn, Nancy L; Battle, Alexis; Walston, Jeremy D.
Afiliação
  • Abadir P; Johns Hopkins Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
  • Oh E; Johns Hopkins Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
  • Chellappa R; Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
  • Choudhry N; Harvard Medical School, Harvard University, and Department of Medicine Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Demiris G; School of Nursing, University of Pennsylvania, and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Ganesan D; Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
  • Karlawish J; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Marlin B; Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
  • Li RM; Rose Li and Associates, Inc., Chevy Chase, Maryland, USA.
  • Dehak N; Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
  • Arbaje A; Johns Hopkins Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
  • Unberath M; Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
  • Cudjoe T; Johns Hopkins Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
  • Chute C; Johns Hopkins Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
  • Moore JH; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Phan P; Johns Hopkins Carey Business School, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
  • Samus Q; Johns Hopkins Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
  • Schoenborn NL; Johns Hopkins Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
  • Battle A; Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
  • Walston JD; Johns Hopkins Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA.
Alzheimers Dement ; 20(4): 3074-3079, 2024 04.
Article em En | MEDLINE | ID: mdl-38324244
ABSTRACT
This perspective outlines the Artificial Intelligence and Technology Collaboratories (AITC) at Johns Hopkins University, University of Pennsylvania, and University of Massachusetts, highlighting their roles in developing AI-based technologies for older adult care, particularly targeting Alzheimer's disease (AD). These National Institute on Aging (NIA) centers foster collaboration among clinicians, gerontologists, ethicists, business professionals, and engineers to create AI solutions. Key activities include identifying technology needs, stakeholder engagement, training, mentoring, data integration, and navigating ethical challenges. The objective is to apply these innovations effectively in real-world scenarios, including in rural settings. In addition, the AITC focuses on developing best practices for AI application in the care of older adults, facilitating pilot studies, and addressing ethical concerns related to technology development for older adults with cognitive impairment, with the ultimate aim of improving the lives of older adults and their caregivers. HIGHLIGHTS Addressing the complex needs of older adults with Alzheimer's disease (AD) requires a comprehensive approach, integrating medical and social support. Current gaps in training, techniques, tools, and expertise hinder uniform access across communities and health care settings. Artificial intelligence (AI) and digital technologies hold promise in transforming care for this demographic. Yet, transitioning these innovations from concept to marketable products presents significant challenges, often stalling promising advancements in the developmental phase. The Artificial Intelligence and Technology Collaboratories (AITC) program, funded by the National Institute on Aging (NIA), presents a viable model. These Collaboratories foster the development and implementation of AI methods and technologies through projects aimed at improving care for older Americans, particularly those with AD, and promote the sharing of best practices in AI and technology integration. Why Does This Matter? The National Institute on Aging (NIA) Artificial Intelligence and Technology Collaboratories (AITC) program's mission is to accelerate the adoption of artificial intelligence (AI) and new technologies for the betterment of older adults, especially those with dementia. By bridging scientific and technological expertise, fostering clinical and industry partnerships, and enhancing the sharing of best practices, this program can significantly improve the health and quality of life for older adults with Alzheimer's disease (AD).
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Isotiocianatos / Doença de Alzheimer Tipo de estudo: Guideline Aspecto: Ethics / Patient_preference Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Revista: Alzheimers Dement Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Isotiocianatos / Doença de Alzheimer Tipo de estudo: Guideline Aspecto: Ethics / Patient_preference Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Revista: Alzheimers Dement Ano de publicação: 2024 Tipo de documento: Article