biostudies-literatureUnknown24(8)Ahmed A<h4>Background</h4>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.<h4>Objective</h4>This review aimed to provide an overview of AI-driven WD features for diabetes and their use in monitoring diabetes-related parameters.<h4>Methods</h4>We searched 7 of the most popular bibliographic databases using 3 groups of search terms related to diabetes,Journal of medical Internet researche36010https://www.ebi.ac.uk/biostudies/studies/S-EPMC9399882biostudies-literatureOverview of Artificial Intelligence-Driven Wearable Devices for Diabetes: Scoping Review.PMC9399882Abd-Alrazaq AFarooq FAhmed ASheikh JAziz SfalseOverview of Artificial Intelligence-Driven Wearable Devices for Diabetes: Scoping Review.<h4>Background</h4>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.<h4>Objective</h4>This review aimed to provide an overview of AI-driven WD features for diabetes and their use in monitoring diabetes-related parameters.<h4>Methods</h4>We searched 7 of the most popular bibliographic databases using 3 groups of search terms related to diabetes,2022-01-01T00:00:00Z2022 Aug2025-04-04T09:30:18.137Z2025-02-19T00:41:51.037ZS-EPMC93998823594377210.2196/36010