Introduction: Dementia is a major cause of disability among the elderly, imposing significant financial burdens on healthcare systems. Traditional care approaches contribute to rising costs, especially in high-income countries. Artificial intelligence (AI) offers potential solutions by enhancing various areas of dementia care.
Methods: This scoping review follows the Arksey and O'Malley framework, identifying studies from PubMed, Scopus, and Web of Science that examine AI applications in dementia care with economic impacts. Eight studies met criteria, focusing on cost reduction in diagnosis, monitoring, personalized care, and resource management.
Results: AI reduces healthcare costs by enabling timely interventions, optimizing resources, and tailoring care. Technologies, including machine learning for diagnosis and wearable devices for monitoring, showed significant cost-saving potential.
Discussion: AI holds promise for reducing dementia care costs, though challenges like data privacy, bias, and system integration remain. Addressing these and further research is essential to maximize AI's impact on dementia care.
Keywords: Artificial Intelligence; Dementia; Health Economics; Machine Learning.