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September 10, 2025International Journal of Environmental Sciences

Leveraging Artificial Intelligence and Wearable Technologies in Glucose Managenment: A Comprehensive Scoping Review of Current Trends and Future Directions

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Authors

KDKomal DandgeMKManisha KumawatPJParul Jadhav

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Overview

Comprehensive review uncovers AI/ML's role in enhancing blood glucose estimation via wearable systems, suggesting future clinical integration.

Key Points

  • Advancements in AI algorithms improve the accuracy of blood glucose estimation using wearable technology.
  • The review highlights the potential of continuous glucose monitoring systems to personalize diabetes treatment.
  • Interdisciplinary research collaboration is crucial for overcoming challenges in sensor integration and data heterogeneity.
  • Technological innovations are reshaping real-time glucose monitoring through noninvasive techniques like photoplethysmography.

Cite This Study

Dandge et al. (2025) studied this question.

synapsesocial.com/papers/68c1a5e554b1d3bfb60df124https://doi.org/10.64252/a6fbg258
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Real-time Non-invasive Blood Glucose Monitoring using Advanced Machine Learning Techniques2023 · 4 citations
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  4. 4A Noninvasive Blood Glucose Monitoring System Based on Smartphone PPG Signal Processing and Machine Learning2020 · 181 citations
  5. 5Convolutional Recurrent Neural Networks for Glucose Prediction2018 · 15 citations