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October 12, 2025Open Access

AI-Powered Wearable Sensors for Health Monitoring and Clinical Decision Making

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Authors

SSShovito Barua SoummaAMAbdullah MamunHGHassan Ghasemzadeh

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Overview

This review demonstrates how AI-powered wearable sensors improve real-time monitoring in health, highlighting privacy and interoperability challenges.

Key Points

  • AI-powered wearable sensors enhance remote health monitoring and enable personalized interventions, significantly improving patient outcomes.
  • Key innovations, such as FDA-approved glucose monitors and digital twins, illustrate advancements in predictive health modeling and patient-centric care.
  • Machine learning methods like federated learning and edge-AI optimize the processing of physiological signals, but gaps in device interoperability and privacy still remain.
  • Emerging approaches provide contextual insights and transparency, reinforcing the importance of integrating technical advancements with clinical needs.

Cite This Study

Soumma et al. (2025) studied this question.

synapsesocial.com/papers/68ebffcfdef9fcb308ff24f1https://doi.org/10.20944/preprints202507.2601.v2
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Also Consider

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  1. 1Integrating Artificial Intelligence with Wearable Sensors for Advanced Health Monitoring and Diagnosis2026 · 2 citations
  2. 2Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review2023 · 180 citations
  3. 3Artificial Intelligence-Based Wearable Sensing Technologies for the Management of Cancer, Diabetes, and COVID-192025
  4. 4Real-time Predictive Health Monitoring using Ai-driven Wearable Sensors: Enhancing Early Detection and Personalized Interventions in Chronic Disease Management2024 · 18 citations
  5. 5Unlocking Tomorrow’s Health Care: Expanding the Clinical Scope of Wearables by Applying Artificial Intelligence2024 · 35 citations