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December 30, 2023International Journal of Advanced Nursing Education and ResearchOpen Access

Glucose Monitoring with AI Analytics for Diabetes Management Using Machine Learning and Smart Devices

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Why the study?

Despite the growing use of smart devices for diabetes treatment, a systematic review was needed to evaluate literature on using technology and AI to effectively monitor and control the disease.

Do AI analytics and smart devices improve diabetes management by predicting blood glucose and identifying risk events?

Population

2655 papers released between 2013 and 2023

Design

Systematic review

Authors

ICIván ContrerasJVJosep Vehı́

Discussion

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Member takes

Overview

Smart devices may aid glycemic stability in diabetes; leaves open impact on lifestyle and QoL.

Structured PICO

Do AI analytics and smart devices improve diabetes management by predicting blood glucose and identifying risk events?

P
Population
2655 papers published between 2013 and 2023 addressing diabetes (Type 1, Type 2, and Gestational) self-management using Artificial Intelligence (AI) and portable or body-mounted smart devices.
I
Intervention
Artificial Intelligence (AI) methods combined with wearable technology and smart devices (e.g., Continuous Glucose Monitoring) for diabetes management.
O
Outcome
Predicting blood glucose, identifying risk events early, and automatically adjusting insulin dosages.

The integration of AI analytics with wearable smart devices like continuous glucose monitors represents a rapidly growing field with the potential to significantly improve diabetes self-management and predict adverse glycemic events.

Cite This Study

Contreras et al. (2023) studied this question.

synapsesocial.com/papers/6a73c9441aa2fc9e78fb7264https://doi.org/10.21742/ijaner.2023.8.2.03
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