Role of Artificial Intelligence in the Diagnosis of Dementia in the Elderly

Abstract

Dementia, a progressive neurodegenerative disorder affecting memory, cognition, and behaviour, poses a major global health challenge in aging populations. The complexity of early diagnosis and the subtle onset of symptoms often delay intervention. In recent years, artificial intelligence (AI) has emerged as a transformative tool for the early detection, classification, and monitoring of dementia, particularly Alzheimer’s disease. AI-driven models leveraging neuroimaging, clinical data, speech analysis, and digital biomarkers are redefining diagnostic accuracy and efficiency. This review highlights the current advancements, methodologies, and challenges in the application of AI for dementia diagnosis in the elderly, and discusses its implications for clinical practice and future research.