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The incorporation of artificial intelligence (AI) into diabetes management marks a paradigm shift in healthcare, addressing significant limitations of traditional approaches such as financial limits, clinical stagnation, and insufficient access to healthcare services. Healthcare providers can improve long-term patient outcomes by leveraging AI-driven innovations like predictive analytics, continu ous glucose monitoring, automated insulin delivery systems, and clinical decision support systems. Furthermore, AI applications in diabetic complications screening, medical nutrition therapy, and per sonalized exercise regimens help to provide more comprehensive and individualized diabetes care. By addressing important shortcomings of conventional methods, this review examined the revolu tionary potential of AI in the management of diabetes.
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Khalid Alfares (2026) studied this question.
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