Diabetes, a metabolic disorder responsible for worldwide pandemic wherein, epidemiological studies suggests around 425 million people around the globe have been diagnosed for diabetes. Type 1 diabetes mellitus (T1DM) indicates a complete insulin deficiency which threatens lifestyle whereas, Type2 diabetes accounts to the obesity and lack of exercise that devastates the internal regu-lation of the body’s glucose that needs exogenous insulin. Research data sum-marized for the last ten years have shown that, rigorous treatment effectively prevents the development and reduces the progression of complications associated with diabetes. The lack of in hand clinical information required mak-ing informed decisions concomitant with intensive therapy and strict management of diabetes frequently impede adequate treatment for people with it. In recent years, several artificial intelligence techniques are being utilized for the management of diseases including diabetes mellitus. This review will focus on various artificial intelligence protocols utilized for effective control of Diabetes mellitus. Technology has found an important place in medicine as well as diabetology. In the meantime there are quite a number of DT applications ranging from direct therapeutic use to use in patients with foot ulcer diabetes. Artificial Intelligence has tremendous potential to enhance diabetes patient monitoring, diagnosis and management. Rapid advances in artificial intelligence (AI) intend to make structured and unstructured health data accessible in real time for treatment.

Original languageEnglish
Pages (from-to)2079-2083
Number of pages5
JournalInternational Journal of Research in Pharmaceutical Sciences
Issue numberSpecial Issue 4
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Pharmacology, Toxicology and Pharmaceutics(all)


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