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The application of artificial intelligence in addressing diabetes, a global epidemic, holds immense potential to transform the diagnosis and treatment of this chronic condition fundamentally. Machine learning-based algorithms have been devised to encourage the utilization of risk prediction models for diabetes and its associated complications. Additionally, digital therapies are being increasingly utilized to modify lifestyles as part of diabetes treatment. A growing number of patients are becoming active consumers, and healthcare providers now possess better tools to manage diabetes independently. Clinical decision support systems play a crucial role in assisting healthcare professionals. Synthetic intelligence facilitates seamless and continuous remote monitoring of symptoms, signs, and biomarkers. Furthermore, engagement in online forums and social media platforms has exhibited a positive influence on patients' involvement in diabetes treatment. The advancements in technology have significantly enhanced the utilization of resources for diabetes treatment. Collectively, these thoughtfully implemented technological advancements culminate in improved glycemic management, leading to reduced pre and post-meal glucose levels, minimized sugar spikes, and decreased glycosylated haemoglobin levels. The advent of AI signifies a radical departure from the existing diabetes treatment paradigm, propelling us towards data-driven precision medicine.