From data to action: Wearable AI for personalized proactive health

Gefang Liu; Wenjuan Ma; Huidong Zhang; Yingya Zhao; Yunhui Zhang

doi:10.59717/j.xinn-med.2026.100209

The Innovation Medicine > 2026 Vol. 4 > No. 2 > 100209

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From data to action: Wearable AI for personalized proactive health

1.
Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China
2.
Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
3.
Research Center for Environment and Female Reproductive Health, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, China
4.
Children's Hospital of Fudan University, Shanghai 201102, China
5.
Shanghai Key Laboratory of Gene Editing and Cell Therapy for Rare Diseases, Shanghai 200032, China
6.
These authors contributed equally

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Corresponding author: yhzhang@shmu.edu.cn
Received Date: December 08, 2025

Accepted Date: March 19, 2026

Published Online: March 20, 2026

The Innovation Medicine 4(2), https://doi.org/10.59717/j.xinn-med.2026.100209 | Cite this article

GRAPHICAL ABSTRACT

GRAPHICAL ABSTRACT

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PUBLIC SUMMARY

PUBLIC SUMMARY
1. Wearable artificial intelligence (AI) devices enable real-time health monitoring for proactive care.
  
  Edge computing processes health data locally on AI devices to protect personal privacy.
  
  Multimodal fusion enhances the accuracy of health assessment and disease early warning.
  
  Wearable AI will deeply integrate into healthcare despite sensor and data standardization challenges.
  
  Wearable AI will offer accessible preventive care to reduce the social burden of chronic diseases.

ABSTRACT

ABSTRACT

With the advancement of AI and wearable devices, proactive health management has entered a new era. Wearable AI enables real-time physiological monitoring, early disease warning, personalized interventions and remote medical services, greatly enhancing the intelligence of health management. This review systematically summarizes its latest progress in cardiovascular health, metabolic disease diagnosis, respiratory/neonatal monitoring and mental health assessment, emphasizing AI's role in data processing and disease prediction with quantified clinical evidence. It also addresses technological challenges and future directions, providing a theoretical and practical basis for the intelligent application of proactive health management.

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Liu G., Ma W., Zhang H., et al. (2026). From data to action: Wearable AI for personalized proactive health. The Innovation Medicine 4:100209. https://doi.org/10.59717/j.xinn-med.2026.100209

Liu G., Ma W., Zhang H., et al. (2026). From data to action: Wearable AI for personalized proactive health. The Innovation Medicine 4:100209. https://doi.org/10.59717/j.xinn-med.2026.100209

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