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This paper is in the following e-collection/theme issue:

Viewpoints, Perspectives, Ideas on Aging (81) Information and Patient Education on Healthy Aging (125) Artificial Intelligence (5085) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (181)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75686, first published .
Doctor discusses smartwatch data with an elderly patient.

Leveraging AI to Advance Age-Friendly Care in the Veterans Health Administration

Leveraging AI to Advance Age-Friendly Care in the Veterans Health Administration

Authors of this article:

Elizabeth Fine Smilovich1 Author Orcid Image ;   Megha Kalsy2, 3 Author Orcid Image ;   Kimberly Wozneak4 Author Orcid Image ;   Quratulain Syed5 Author Orcid Image ;   Laurence M Solberg6 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Bartusik-Aebisher D, Bania K, George B, Dynarowicz K, Aebisher D. Advanced Drug Delivery Strategies in Geriatric Patients with Polypharmacy: Integrating Pharmacokinetics, Personalized Medicine, and Emerging Technologies. Journal of Clinical Medicine 2026;15(11):4359 View
  2. Wershof Schwartz A, Avnon Sawicki A, Meged-Book T, Jindal S, Schlak A, Pimentel C, Boockvar K, Bravata D, Sullivan S, Davila H, Hall K, Hastings S, Lalande K, Leykum L, Mills W, Schubert C, Shaughnessy M, Stevens-Lapsley J, Valencia-Mendoza I, Wozneak K, Rudolph J, Burke R. A Research and Implementation Roadmap from the VA’s National State-of-the-Art Conference on Age-Friendly Care for Veterans. NEJM Catalyst 2026;7(11) View