The Integrating Application of Smart Wearable Devices and Artificial Intelligence Technology in Diabetes Management

Jiawei Zhang

doi:10.54097/03w58269

Authors

Jiawei Zhang

DOI:

https://doi.org/10.54097/03w58269

Keywords:

Diabetes, wearable devices, artificial intelligence, integration.

Abstract

Diabetes is a pervasive global health challenge, requiring continuous glucose monitoring and personalized management to prevent severe complications. Traditional methods like fingerstick testing are often intrusive, inconvenient, and lack real-time monitoring. This paper explores the transformative potential of integrating smart wearable devices with artificial intelligence (AI) for more patient-friendly, personalized diabetes management. It systematically analyzes the respective application models: wearable devices (e.g., smartwatch-integrated sweat patches, IoT-enabled optical monitors) for non-invasive, continuous data acquisition, and AI technologies (e.g., deep learning, quantum-inspired models) for data analysis, accurate prediction, and personalized therapy optimization. Furthermore, the paper demonstrates a comprehensive integration mechanism: a four-layered architecture from multi-modal data acquisition and fusion to AI-powered analytics and to real-time intervention. The study considers that this system provides a dynamic, proactive, and highly personalized management, significantly shifting the management from passive health care to active health optimization. Though it still has limitations regarding data accuracy, privacy security, and public adoption, the integration of wearable devices and AI undeniably paves the way for intelligent, convenient, and personalized chronic disease management.

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