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June 20, 2026BiosensorsOpen Access

Integrating Artificial Intelligence with Wearable Sensors for Advanced Health Monitoring and Diagnosis

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Authors

DKDongyoun KimSASyed Saad AhmedAAAmirhossein Amjad

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Overview

Review examines AI and wearable sensors integration for comprehensive health monitoring and diagnostics.

Key Points

  • The aim is to evaluate how AI and machine learning can enhance the functionality of wearable sensors for health monitoring.
  • Review of AI/ML model integration with wearable sensors across various health domains.
  • Comparison of task formulations, sensing modalities, dataset scale, and validation protocols.
  • Discussion on advanced architectures, multimodal fusion, and privacy considerations.
  • AI-enhanced wearable sensors can detect early signs of health issues before clinical symptoms appear.
  • The review identifies key performance metrics and deployment constraints affecting clinical use.
  • Emphasis on the translational gap highlights the challenges in deploying AI systems in healthcare.

Cite This Study

Kim et al. (2026) studied this question.

synapsesocial.com/papers/6a363224db0793dc1a538cbahttps://doi.org/10.3390/bios16060344
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