AI-Driven Wearables: Transforming Healthcare for Enhanced Health and Wellness

Abstract

The integration of artificial intelligence (AI) with wearable technologies is transforming healthcare by enabling real-time health monitoring and predictive analytics. While these advancements enhance personalized health management, challenges such as data privacy, limited personalization, and clinical integration persist. This review evaluates the current state of AI-driven wearables in healthcare, with a particular focus on their applications in diabetes management, cardiovascular health, and elderly care. The novelty of this study lies in its comprehensive analysis of AI algorithms utilized in wearables across diverse health domains. A systematic review was conducted to examine high-quality, peer-reviewed studies published between 2022 and 2024. A comprehensive database search yielded 164 records, with 21 studies meeting the inclusion criteria. These studies provided both quantitative and qualitative insights into the clinical applications of AI-powered wearables for chronic disease management. Data extraction focuses on study characteristics, wearable technologies, health applications, and existing challenges. Findings indicate that AI integration enhances personalized health monitoring, facilitates early disease detection, and supports proactive health management, ultimately improving patient outcomes and reducing strain on healthcare systems. However, issues related to data accuracy, system interoperability, and user acceptance remain critical barriers to widespread adoption. AI-powered wearables demonstrate significant potential in preventive healthcare, chronic disease management, and personalized medicine. As technology advances, these devices are expected to offer more sophisticated diagnostic capabilities and adaptive health interventions. Future research should address challenges such as device accuracy, ethical concerns, and data security while exploring AI applications in mental health and remote patient monitoring. Additionally, longitudinal studies and real-world implementations will be essential to fully integrate AI wearables into mainstream healthcare and maximize their impact on patient care.

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