Exploring the Applications of Artificial Intelligence in Elderly Mental Health Management

Abstract

As global aging accelerates, mental health issues among the elderly-such as depression, anxiety, and loneliness-are emerging as critical public health concerns, significantly impairing their quality of life and social functioning. Recent advancements in artificial intelligence (AI) offer promising solutions for addressing these challenges within the domain of elderly mental health care. This study explores the applications, benefits, and limitations of AI in managing elderly mental health. Drawing upon an extensive review of current literature, case studies, and empirical data from interviews and questionnaires, the research reveals that AI technologies-including chatbots, emotion recognition systems, and wearable devices-have the potential to provide personalized, accessible, and scalable solutions for psychological assessment, emotional support, and daily companionship. The findings suggest that AI-driven interventions can effectively reduce symptoms of depression, alleviate feelings of loneliness, and enhance overall life satisfaction among older adults. However, the study also identifies several barriers to widespread adoption, including limited technological literacy, concerns about privacy and data security, and the digital divide. These challenges underscore the need for interdisciplinary collaboration, technological refinement, user-centered design, and policy development to ensure the sustainable integration of AI in elderly mental health care.