Artificial Intelligence in Diabetes Care: Transforming Diagnosis, Management, and Research- A Mini Review

Artificial intelligence (AI) is revolutionizing diabetes care by transforming the landscape of diagnosis, management, and research. This review explores the diverse applications of AI in diabetes, including predictive modeling, personalized treatment strategies, clinical decision support systems, and drug discovery. The integration of AI with advanced data analytics, machine learning algorithms, and big data has enabled more accurate risk prediction, early disease detection, and optimized therapeutic interventions. Challenges such as data privacy, algorithm transparency, and clinical validation are also discussed. Overall, AI holds immense promise in reshaping the future of diabetes care, enhancing patient outcomes, and advancing scientific understanding. The existing literature on the involvement of AI in diabetes mellitus care is summarised in this review. A thorough search of the literature was done with databases such as PubMed, Google Scholar, and Web of Science. Keywords: Artificial intelligence, AI, Diabetes mellitus, Personalized medicine