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Overview of Artificial Intelligence-Driven Wearable Devices for Diabetes: Scoping Review.

Arfan AhmedSarah AzizAlaa Ali Abd-AlrazaqFaisal FarooqJavaid Sheikh
Published in: Journal of medical Internet research (2022)
This review is the most extensive work, to date, summarizing WDs that use ML for people with diabetes, and provides research direction to those wanting to further contribute to this emerging field. Given the advancements in WD technologies replacing the need for invasive hospital setting devices, we see great advancement potential in this domain. Further work is needed to validate the ML approaches on clinical data from WDs and provide meaningful analytics that could serve as data gathering, monitoring, prediction, classification, and recommendation devices in the context of diabetes.
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