Artificial Intelligence Aided Continuous Glucose Monitoring and its Effectiveness in the Management of Type 2 Diabetes; A Narrative Review

Abstract

This literature review offers a thorough summary of current research on continuous glucose monitoring (CGM) for the treatment of diabetes. Continuous glucose monitoring is a non-invasive technique proven efficient in enhancing diabetes management by reducing HbA1C and achieving better sugar control. Patients who use CGM for managing their diabetes have also experienced decreased fear of hypoglycemia and improved diabetes self-management skills, increasing their confidence to control their blood sugars efficiently. Although data management is challenging, CGM systems offer helpful insights into glucose levels for the management of diabetes. The review covers various CGM-related topics, including accuracy, efficacy, patient outcomes, technological advancements, patient challenges, limitations, and future research recommendations referring to the literature published in the past on the topic. The review also discusses optical signalling, biosensors, and other technologies used in glucose-sensing technology for continuous monitoring.