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

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

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.

Dandge et al. (2025) studied this question.

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