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

ABSTRACT:

Background

Prevalence of diabetes has steadily increased over the last few decades with 1.5 million deaths reported in 2012 alone. Traditionally, analyzing patients with diabetes has remained a largely invasive approach. Wearable devices (WDs) make use of sensors historically reserved for hospital settings. WDs coupled with artificial intelligence (AI) algorithms show promise to help understand and conclude meaningful information from the gathered data and provide advanced and clinically meaningful analytics.

Objective

This review aimed to provide an overview of AI-driven WD features for diabetes and their use in monitoring diabetes-related parameters.

Methods

We searched 7 of the most popular bibliographic databases using 3 groups of search terms related to diabetes,

SUBMITTER: Ahmed A 

PROVIDER: S-EPMC9399882 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature