Artificial Intelligence in Diabetes

Artificial intelligence (AI) is transforming diabetes care by enabling predictive analytics, personalized treatment, and enhanced disease management. AI-driven platforms analyze large-scale clinical data, genetic information, continuous glucose monitoring trends, and lifestyle factors to identify patients at high risk for diabetes or complications. Machine learning models provide personalized insulin dosing recommendations, forecast hyperglycemic and hypoglycemic events, and optimize therapy regimens in real time. AI-powered decision support tools assist clinicians in selecting appropriate pharmacological treatments, diet plans, and monitoring schedules, enhancing efficiency and patient safety. Integration with mobile health applications allows for remote patient monitoring, behavioral guidance, and adherence tracking. Deep learning algorithms facilitate the discovery of new biomarkers, therapeutic targets, and predictive models for disease progression. By leveraging AI, healthcare providers can transition from reactive care to proactive, precision-focused management, reducing complications and improving long-term metabolic outcomes. The technology continues to evolve, offering the potential to revolutionize both clinical and self-managed diabetes care across diverse populations globally.

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