Artificial Intelligence and Aging in Place: A Scoping Review of Current Applications and Future Directions.

Journal: The Gerontologist
Published Date:

Abstract

BACKGROUND AND OBJECTIVES: As the global population continues to age, aging in place (AIP) has emerged as an essential strategy to help older adults live safely and independently within their communities. Although artificial intelligence (AI) holds promise for supporting AIP, particularly in clinical settings, limited research has focused on its application in nonclinical dimensions of AIP. This scoping review aims to explore the current landscape of AI in AIP research, focusing on its potential to address both the health and social aspects of aging outside of clinical settings.

Authors

  • Sojung Park
    Brown School of Social Work, Washington University in Saint Louis, St. Louis, Missouri, USA.
  • Eunhye Ahn
    Brown School of Social Work, Washington University in Saint Louis, St. Louis, Missouri, USA.
  • Tae-Hyuk Ahn
    Program in Bioinformatics and Computational Biology, Saint Louis University, Saint Louis, MO, 63103, USA. ted.ahn@slu.edu.
  • SangNam Ahn
    College for Public Health and Social Justice, Saint Louis University, St. Louis, Missouri, USA.
  • Soobin Park
    College of Medicine, Hallym University, Chuncheon, Korea.
  • Eunsun Kwon
    School of Pharmacy and Health Science, Fairleigh Dickinson University, Hackensack, New Jersey, USA.
  • Seoyeon Ahn
    Programme in Health Services and Systems Research (HSSR), Duke-NUS Medical School, Singapore, Singapore.
  • Yuanyuan Yang
    Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, 999077, China.