Integrating wearable devices with AI to explore a disease world spanning time and space
Journal
Nano Energy
Journal Volume
145
Start Page
111481
ISSN
22112855
Date Issued
2025-12-01
Author(s)
Liu, Yiyao
Wu, Ya
Ren, Hong-Xia
Wu, Shaoquan
Hong, Jiale
Du, Jia
Sun, Mingyan
Miao, Yang-Bao
Abstract
The spatiotemporal dynamics of diseases are fundamental to understanding their progression, transmission, and treatment efficacy. Integrating wearable devices with artificial intelligence (AI) provides unprecedented capabilities for capturing real-time physiological and behavioral data, enabling a comprehensive exploration of disease patterns across time and space. This review examines the evolution of diseases through a spatiotemporal lens, highlighting how AI-driven wearable technologies revolutionize health monitoring, disease characterization, and therapeutic strategies. It systematically introduces the design and development of AI-integrated wearable devices and categorizes diseases to elucidate how this synergy transcends conventional diagnostic and treatment paradigms. Furthermore, the latest advancements in clinical applications, existing challenges, and potential solutions are discussed. By leveraging AI-enhanced wearables, this integration not only refines disease monitoring and analysis but also unlocks new frontiers in personalized healthcare, ultimately shaping the future of precision disease management.
Subjects
Artificial intelligence
Dynamics
Health monitoring
Precision medicine
Spatiotemporal disease
Wearable technology
Publisher
Elsevier Ltd
Type
journal article