“Artificial Intelligence (AI)” can play a vital part in early detection of complications, promoting adherence to healthy lifestyle and pharmaceutical regimen, real-time monitoring for maintaining optimal glycemic status, and providing predictive prognostic displays for a patient’s diabetic status. The early identification and management of complications (intense and inveterate) in diabetes significantly impact the patient’s quality of life (QoL). The success of AI in early diabetic retinopathy diagnosis has paved the way for addressing other complications. While Flash Glucose Monitoring (FGMs) and Continuous Glucose Monitoring (CGMs) have not been used in routine clinical practice, these methods possess potential for future diabetes management. Leveraging large datasets, AI enables automated diagnosis of diabetic retinopathy and monitoring cardiovascular risk factors with improved sensitivity and specificity. The potential integration of smartphones and smart devices, along with dedicated applications, empowers patients to monitor and diagnose diabetes complications remotely, signifying a paradigm shift towards “e-disease management” in future. AI applications offer several advantages including greater accuracy, efficiency, user-friendliness, and satisfaction, complementing long-term management and early identification of diabetes-related complications in the long run.

Mr. Shastri Keyur V*, Ms. Ghadi Shambhavi

AI, diabetic retinopathy, flash glucose monitors, continuous glucose monitors, artificial neural