Cited by 24Technology Use by Older AdultsArtificial Intelligence in Healthcare and EducationFrailty in Older Adults

The promise of AI and technology to improve quality of life and care for older adults

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Abadir, Peter M., Chellappa, Rama, Choudhry, Niteesh, Demiris, George, Ganesan, Deepak, Karlawish, Jason, Li, Rose M., Moore, Jason H. +14 more·2023·Nature Aging

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  • Two solutions have been proposed to address privacy leakage in models: adding a regularization term in a loss function to avoid overfitting and improve robustness, and adding acceptable noise into model parameters to hinder privacy inference attacks.

    “To address the problem of privacy leakage in the models, two solutions have been proposed: (1) adding a regularization term in a loss function to avoid overfitting and improve robustness; for example, this method can be applied to defend against membership inference attacks, [37] and (2) adding acceptable noise into the model parameters to hinder privacy inference attacks.”

    From Generative AI in medical practice: in-depth exploration of privacy and security challenges (2024) · cites this paper as [38]

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  1. [2]Davenport T & Kalakota R Future Healthc. J 6, 94– 98 (2019). PMC6616181 31363513
  2. [3]Singh RP, Hom GL, Abramoff MD, Campbell JP & Chiang MF Transl. Vis. Sci. Technol 9, 45 (2020). PMC7443115 32879755
  3. [4]Char DS, Shah NH & Magnus D N. Engl. J. Med 378. 981– 983 (2018). 29539284 PMC5962261
  4. [5]Wangmo T, Lipps M, Kressig RW & lenca M BMC Med. Ethics 20, 98 (2019). 31856798 PMC6924051
  5. [6]Chu CH Gerontologist 62, 947– 955 (2022). 35048111 PMC9372891

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Authors
Abadir, P. M., Chellappa, R., Choudhry, N., Demiris, G., Ganesan, D., Karlawish, J., Li, R. M., Moore, J. H., Walston, J. D., AITCs, D. &. A. O. T., Marlin, B., Dehak, N., Arbaje, A. I., Unberath, M., Cudjoe, T. K. M., Saria, S., Oh, E., Lundebjerg, N., Chute, C. G., Phan, P., Samus, Q., & Schoenborn, N. L.
Affiliations
  • Johns Hopkins University (US)
  • Brigham and Women's Hospital (US)
  • University of Pennsylvania (US)
  • University of Massachusetts Amherst (US)
  • Cedars-Sinai Medical Center (US)
Corresponding author
Abadir, Peter M.
Venue
Nature Aging
Published
2023-05-25
Volume
3
Issue
6
Pages
629-631
ISSN
2662-8465 (ISSN-L)
OpenAlex
W4378212561
Cited by
24
References
2
Citations by year
2026: 3 · 2025: 14 · 2024: 5 · 2023: 2
FWCI
13.97
Type
journal article
Language
en
Open access
Locations
  • Nature Aging (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • National Institute on Aging (P30AG073104, P30AG073107, U24AG073094, P30AG073105, P30AG072979)
Topics
  • Social Sciences › Demography › Technology Use by Older Adults
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
Keywords
artificial intelligence, older adults, quality of life, care for older adults, aging research, technology for aging
MeSH terms
Artificial Intelligence, Quality of Life, Technology

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