Artificial intelligence technologies for aging in place: a systematic review

Abstract

Populations worldwide are aging rapidly, and a growing number of older adults wish to remain in their own homes and communities rather than enter institutional care, an objective described as Aging in Place. Supporting Aging in Place is difficult because the needs it creates outstrip care resources, older adults at home require ongoing help with safety, health, daily activities, and social connection, yet the care workforce grows far more slowly than the population requiring care. Artificial intelligence has attracted attention for its scalability, automating monitoring, risk detection, and personalized support to extend the reach of a limited workforce. However, research on Artificial intelligence for Aging in Place remains fragmented across technical and gerontological communities, making it hard to see which technologies exist, how mature they are and how well they match older adults’ everyday needs. To address this gap, a general systematic review with descriptive mapping was conducted, searching six databases (MEDLINE, CINAHL, Web of Science, ProQuest Central, PubMed, and Scopus) for articles published between 2005 and June 2025. Following PRISMA guidelines, the search yielded 101 articles. Findings show research on Artificial intelligence for Aging in Place has grown rapidly, yet a persistent disparity remains between computational advancement and studies on real-world efficacy. The review introduces a four-category taxonomy that orders systems by algorithmic complexity and identifies five application scenarios through topic modeling. It proposes a three-layer organizing framework and a future research agenda that connect technical capability to gerontological need for Artificial intelligence supporting Aging in Place.