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The Role of Digital Health Technologies in Early Detection and Management of Alzheimer's Disease
1Department of Medical Physiology, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Abstract:
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and functional impairment, posing significant challenges for early detection and management. In recent years, digital health technologies have emerged as promising tools to enhance the diagnosis, monitoring, and treatment of AD. This review paper explores the multifaceted role of digital health technologies in the early detection and management of Alzheimer's disease. We examine the use of wearable devices that monitor cognitive function and daily activities, as well as mobile health applications designed for cognitive training and symptom tracking. Additionally, we analyze the impact of telehealth services in providing remote care, particularly for underserved populations. The integration of artificial intelligence and machine learning for analyzing behavioral and cognitive data to support early diagnosis and risk assessment is also discussed. Furthermore, we explore the concept of digital biomarkers and their potential to complement traditional diagnostic methods. Ethical considerations surrounding privacy, data security, and informed consent are addressed to ensure responsible implementation of these technologies. Finally, we highlight gaps in current research and propose future directions for integrating digital health technologies into Alzheimer's care, emphasizing the potential for personalized interventions tailored to individual patient needs. This review underscores the transformative potential of digital health to reshape Alzheimer's disease management and improve patient outcomes.
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