Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Advertisement
Nature Aging (2023)
8
Metrics details
By 2060, the number of adults aged 65 or older living in the USA is projected to reach 94.7 million and comprise almost one-quarter of the US population1. Older adults often live with conditions that affect their physical health, psychosocial well-being, cognition and ability to live independently, resulting in complex medical and social needs. Managing these needs requires a multidimensional, integrative approach that addresses not only medical factors but also psychosocial and community factors that affect health and well-being; however, the special training, techniques, tools and expertise to support such an approach are not available in many communities and healthcare settings.
This is a preview of subscription content, access via your institution
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Rent or buy this article
Get just this article for as long as you need it
$39.95
Prices may be subject to local taxes which are calculated during checkout
Vespa, J., Medina, L. & Armstrong, D. M. Current Population Reports, P25-1144 (US Census Bureau, 2020).
Davenport, T. & Kalakota, R. Future Healthc. J. 6, 94–98 (2019).
Article PubMed PubMed Central Google Scholar
Singh, R. P., Hom, G. L., Abramoff, M. D., Campbell, J. P. & Chiang, M. F. Transl. Vis. Sci. Technol. 9, 45 (2020).
Article PubMed PubMed Central Google Scholar
Char, D. S., Shah, N. H. & Magnus, D. N. Engl. J. Med. 378, 981–983 (2018).
Article PubMed PubMed Central Google Scholar
Wangmo, T., Lipps, M., Kressig, R. W. & Ienca, M. BMC Med. Ethics 20, 98 (2019).
Article PubMed PubMed Central Google Scholar
Chu, C. H. et al. Gerontologist 62, 947–955 (2022).
Article PubMed PubMed Central Google Scholar
NIH. Artificial Intelligence and Technology Collaboratories for Aging Research (P30 – Clinical Trial Optional) (RFA-AG-21-009). grants.nih.gov, https://grants.nih.gov/grants/guide/rfa-files/rfa-ag-21-009.html (2020).
NIH. Artificial Intelligence and Technology Collaboratories for Aging Research Coordinating Center (AITCC) (R24 Clinical Trial Not Allowed) (RFA-AG-21-018). grants.nih.gov, https://grants.nih.gov/grants/guide/rfa-files/RFA-AG-21-018.html (2020).
Download references
We thank D. Berlyne, C. Garcia, K. Goggans and K. Harr for editorial assistance with the manuscript, and J. Fairman for producing the original figure illustration. This work was supported by grants P30AG073104 (R.C., P.M.A. and J.D.W.), P30AG073107 (N.C. and D.G.), P30AG073105 (G.D., J.K. and J.H.M.), and U24AG073094 (R.M.L.) from the National Institute on Aging, part of the National Institutes of Health.
Johns Hopkins Medicine, Johns Hopkins University, Baltimore, MD, USA
Peter M. Abadir, Rama Chellappa, Jeremy D. Walston, Alicia I. Arbaje, Thomas K. M. Cudjoe, Esther Oh, Christopher G. Chute, Phillip Phan, Quincy Samus & Nancy L. Schoenborn
Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
Peter M. Abadir, Rama Chellappa, Najim Dehak, Mathias Unberath & Suchi Saria
Harvard Medical School, Harvard University, Boston, MA, USA
Niteesh Choudhry
Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
Niteesh Choudhry
School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
George Demiris
Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
George Demiris & Jason Karlawish
Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, USA
Deepak Ganesan & Benjamin Marlin
Rose Li and Associates, Inc., Chevy Chase, MD, USA
Rose M. Li
Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
Jason H. Moore
American Geriatrics Society https://www.americangeriatrics.org/
Nancy Lundebjerg
Johns Hopkins Carey Business School, Johns Hopkins University, Baltimore, MD, USA
Phillip Phan
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
All authors contributed to preparing the manuscript. P.M.A. led the writing of the manuscript.
Correspondence to Peter M. Abadir.
The authors declare no competing interests.
Reprints and Permissions
Abadir, P.M., Chellappa, R., Choudhry, N. et al. The promise of AI and technology to improve quality of life and care for older adults. Nat Aging (2023). https://doi.org/10.1038/s43587-023-00430-0
Download citation
Published:
DOI: https://doi.org/10.1038/s43587-023-00430-0
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
Advertisement
© 2023 Springer Nature Limited
Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.