ROLE OF ARTIFICIAL INTELLIGENCE IN DIABETES MELLITUS AND DIABETES RETINOPATHY

B. Swapna*, B. Raj Kamal, P. Rasagnya, T. Poojitha and Priyanka Kore

ABSTRACT

The use of artificial intelligence as proven to be valuable and transformative in the treatment of diabetes. AI can draw significant conclusions that improve the accuracy of diagnostic and prognostic decision making. machine learning and deep learning are the most commonly used technologies in the field, as they have make remarkable advancements due to enhanced computer speed and more resources for computation. Millions of people around the globe are suffering from diabetes. most of the patients are not familiar with their health issues and the risk factor they face before the diagnosis of diabetes. The paper reviews substantial work related to diabetes mellitus and retinopathy based on different classification techniques. In this paper, a generic smart frame work for realistic health management of diabetes mellitus is presented and implemented. The paper review includes applications of AI in early diagnosis of type 2 diabetes, AI in prediction and prevention of diabetes, applications of AI in screening and classification of diabetes, limitations in AI in diabetes research and care, diabetes retinopathy screening, grading of diabetes retinopathy severity, diabetic retinopathy treatment, AI techniques used in retinal images analysis, challenges of AI in diabetes care, potential enhancement and future directions of AI in diabetes retinopathy management, advancements in diagnosing diabetic retinopathy.

Keywords: diabetic mellitus; artificial intelligence; machine learning; deep learning; diabetic retinopathy; diabetes care; techniques.