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In today's healthcare landscape, Artificial Intelligence (AI) has emerged as a transformative force, especially in the fight against non-communicable diseases like diabetes.With diabetes projected to exert escalating economic and social burdens globally, the integration of AI into diagnostic and management pathways provides a promising avenue for improving outcomes and reducing long-term costs associated with disease complications and care deliveryAI offers powerful capabilities in enhancing early detection, personalizing treatment plans, optimizing continuous glucose monitoring, and improving predictive risk assessment, positioning it as a key tool in both clinical practice and public health interventions.

In today’s healthcare landscape, Artificial Intelligence (AI) has emerged as a transformative force, especially in the fight against non-communicable diseases like diabetes. As the global prevalence of diabetes continues to climb — with recent estimates indicating around 589 million adults affected worldwide and numbers expected to rise sharply in the coming decades — the strain on healthcare systems has never been greater. AI offers powerful capabilities in enhancing early detection, personalizing treatment plans, optimizing continuous glucose monitoring, and improving predictive risk assessment, positioning it as a key tool in both clinical practice and public health interventions. Beyond clinical support, AI technologies are enabling real-time data analysis from wearable sensors, assisting patients in self-management, and helping health systems allocate resources more efficiently. With diabetes projected to exert escalating economic and social burdens globally, the integration of AI into diagnostic and management pathways provides a promising avenue for improving outcomes and reducing long-term costs associated with disease complications and care delivery