Telemedicine-Based Diabetic Care Powered With Artificial Intelligence

Abstract

Diabetes is one of the chronic diseases which keep increasing at an alarming rate, and the patients need to visit the clinic to routinely check their sugar levels and adjust their treatment plans. Artificial intelligence-enabled telemedicine is found to be a promising approach to monitor the health status of diabetic patients. Some of the promising artificial intelligence technologies for treating diabetic patients are a reactive machine, limited memory, theory of minds, and self-awareness. Each of these techniques is discussed with architecture, characteristics, algorithms, advantages, and applications. Performance analysis is carried out towards the performance metrics like accuracy, medical error rate, speed, and learning rate, and the performance achieved by self-awareness artificial intelligence technique is found to be better in delivering telemedicine-based care for diabetic patients with a very high level of precision and speed of operation.