Document Type

Article

Publication Date

9-18-2025

Comments

This article is the author's final published version in Frontiers in Network Physiology, Volume 5, 2025, Article number 1690563.

The published version is available at https://doi.org/10.3389/fnetp.2025.1690563. Copyright © 2025 Srivastava and Yadav.

Abstract

Introduction: The landscape of personal health monitoring is rapidly transforming, driven by advances in wearable technology. These devices, designed to be worn comfortably on the body, can capture real-time physiological data often difficult to obtain in traditional clinical settings. What began as a simple device for activity trackers for walking steps, heart rate, and blood oxygen saturation has evolved to play a crucial role in monitoring more complex physiological parameters critical for chronic disease management and preventative health.

The integration of artificial intelligence (AI) is further expanding the potential of wearable devices, enabling deeper analysis and predictive modeling of the recorded data. As AI-driven models become more refined, wearable technologies are poised to transform health monitoring, enabling early disease detection and personalized interventions. In many ways, we are at a pivotal moment in digital health, well-positioned to reimagine how healthcare is delivered, monitored, and personalized.

This editorial discusses emerging clinical applications of wearable technologies across different life stages in patient care, the key limitations, and prospects in the rapidly advancing field. These include sleep monitoring in children, menstrual cycle tracking in reproductive-aged females, and cardiovascular monitoring in Parkinson’s disease. Collectively, these studies highlight how continuous, real-time physiological data can uncover underlying subtle biological patterns and inform tailored interventions.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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Supplemental Figure 1

PubMed ID

41050392

Language

English

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