To review the application of multimodal knowledge graph in full-cycle health management of patients with dementia

This scoping review aims to systematically map the existing literature on the application of multimodal knowledge graphs in the full-cycle health management of patients with dementia. With the global aging population and rising dementia prevalence, there is an urgent need for integrated, intelligent health management approaches. Multimodal knowledge graphs integrate heterogeneous data sources (e.g., clinical records, medical imaging, behavioral monitoring) and hold promise for personalized and continuous dementia care. The review will examine how these knowledge graphs are constructed, identify their specific application forms in full-cycle health management, analyze the main content areas covered, and evaluate reported effectiveness. Following established scoping review methodology, we will systematically search nine databases (Wanfang Data, CNKI, VIP, SinoMed, PubMed, Embase, Web of Science, CINAHL, Cochrane Library) from inception to December 2025. Two independent reviewers will screen studies, extract data, and synthesize findings. Expected outcomes include a comprehensive overview of current applications, a classification of application scenarios and technological approaches, identification of research gaps and limitations, and recommendations for future research and practical implementation. This review will provide a foundational understanding for researchers and practitioners in dementia care and artificial intelligence.