Artificial Intelligence in Geriatric Healthcare: Opportunities and Challenges in a Transforming Landscape

Abstract

The quick ageing of world populations has brought a set of complicated problems for healthcare systems, such as new disease trends, the escalating cost of health and long-term care, a labor shortage, and the old-age income security issue. Artificial intelligence (AI) has come up as a revolutionary technology is the potential to handle these problems by improving the health care of the aged through early diagnosis, personal care, remote medication, and decision support. But the introduction of AI in elderly care is a vector of conflicting issues including machine learning limitations, ethical and legal ambiguities, and social acceptance barriers. This study is a review of literature that assesses the use of artificial intelligence in the digital transformation of geriatric healthcare by answering four key research questions: (1) the most popular AI techniques, (2) application scenarios, (3) planned future research, and (4) benefits of AI-based digital transformation in the industry. An in-depth analysis is provided the security mechanisms of intelligent healthcare systems and DT-inspired innovative methods demonstrate their function in increasing healthcare outcomes for older people. Even though the shower promises this review hit home some pivotal issues like data privacy concerns, the opacity of AI models, insufficient ethical and regulatory frameworks, and mistrust of society toward AI technologies. It emphasizes the importance of solid, interdisciplinary methods to overcome these limitations, concentrating on improving transparency, ethical accountability, and public trust. The purpose of the publication is to provide an outlook into both the prospects and the problems, therefore, the publication is directed to researchers, policymakers, and practitioners who are working on the advancement of AI-powered innovations in senior healthcare, which, along with demographic changes characterized by the complexity of the landscape necessitate the study of possible solutions, among which is the proposed Ecological network.