TLDR
Smart devices and computer programs are starting to help people with diabetes track their health and manage their condition better, but more work is needed to make sure these tools work well for everyone.
Summary
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1 Study Aim
The main goal of this paper is to systematically review and assess research on how artificial intelligence (AI) and wearable technology, like continuous glucose monitors and smartwatches, are being used together to help manage type 2 diabetes (T2D) and prediabetes. The authors aim to highlight both the benefits and challenges of these technologies, focusing on how they affect clinical outcomes and self-management for people with diabetes. Simply put: The study wants to find out how well smart devices and AI work together to help people manage diabetes.
2 Study Design
This research is a systematic review, meaning the authors searched several large databases for studies published between 2014 and 2024. They included only peer-reviewed studies that used AI models with data from wearable devices for diabetes management. Out of over 5,000 records, 60 studies met the strict criteria. The review looked at study design, participant demographics, types of wearables, AI methods, and how well the models worked. Most studies focused on adults with type 2 diabetes, used continuous glucose monitors, and applied advanced AI techniques like deep learning. Simply put: The authors carefully collected and compared many studies about using smart devices and AI for diabetes care.
3 Findings
The review shows that combining AI with wearable devices can help predict blood sugar changes, guide insulin use, and spot diabetes-related events in real time. These tools can support both doctors and patients in making better decisions and managing diabetes more personally. However, the authors found big challenges: most studies had small or non-diverse groups, data quality varied, and many AI models were hard for doctors to understand. There is a need for more research with larger, more diverse groups, better data standards, and clearer ways to explain how AI makes decisions. The authors recommend focusing on fairness, transparency, and practical use to make sure these tools help everyone with diabetes. Simply put: Smart devices and AI can help people with diabetes, but they need to be tested more fairly and explained more clearly before everyone can benefit.