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February 25, 2022SensorsOpen Access

Machine Learning and Smart Devices for Diabetes Management: Systematic Review

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Key result

Wearable devices combined with artificial intelligence techniques assist in diabetes management, prevent complications, and improve quality of life across 89 reviewed studies.

Why the study?

The use of smart devices to better manage diabetes has increased significantly to facilitate blood sugar control, anticipate dangerous events, and improve quality of life.

Do smart devices combined with artificial intelligence improve diabetes management and quality of life?

Population

89 studies published between 2011 and 2021

Comparison

Wearable devices combined with artificial intelligence techniques for diabetes management

Design

Systematic review

Authors

MMMohammed Amine MakroumMAMehdi AddaABAbdenour Bouzouane

Discussion

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Overview

Supports integration of AI-wearables into diabetes care; extends evidence base for complication prevention and quality-of-life gains.

Study Design

Type

Systematic Review (n=89)

Structured PICO

Do smart devices combined with artificial intelligence improve diabetes management and quality of life?

P
Population
89 studies published between 2011 and 2021 focusing on the use of smart devices and artificial intelligence for diabetes management.
I
Intervention
Smart devices (wearable devices) combined with artificial intelligence (AI) techniques
O
Outcome
Diabetes management (e.g., blood glucose prediction, early detection of risk events, automatic adjustment of insulin doses)

Wearable devices combined with artificial intelligence show promise in assisting diabetes management, preventing complications, and improving patient quality of life.

Cite This Study

Makroum et al. (2022) conducted a systematic review in Diabetes (n=89). Smart devices and artificial intelligence was evaluated on Diabetes management (blood glucose prediction, early detection of risk events, automatic adjustment of insulin doses). Wearable devices combined with artificial intelligence techniques assist in diabetes management, prevent complications, and improve quality of life across 89 reviewed studies.

synapsesocial.com/papers/6a7c586aa7aadf9f7c3bec2ehttps://doi.org/10.3390/s22051843
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Also Consider

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

  1. 1Glucose Monitoring with AI Analytics for Diabetes Management Using Machine Learning and Smart Devices2023 · 2 citations
  2. 2The utilization of diverse smart devices in the health management of diabetes patients2025
  3. 3Integration of artificial intelligence and wearable technology in the management of diabetes and prediabetes2025
  4. 4Transforming Diabetes Management: Harnessing AI and Smart Technologies in Clinical Pharmacy2026
  5. 5Leveraging Artificial Intelligence and Wearable Technologies in Glucose Managenment: A Comprehensive Scoping Review of Current Trends and Future Directions2025 · 2 citations