AI and Diabetes Management: Towards Better Control and Outcomes

Abstract

Artificial intelligence (AI) is enhancing diabetes management by providing personalized, real-time solutions for patients and healthcare providers. This paper explores AI applications in monitoring glucose levels, predicting complications, and optimizing treatment plans. We review case studies demonstrating improvements in glycemic control, patient adherence, and overall health outcomes. The paper also discusses challenges such as data accuracy, patient privacy, and integration with existing healthcare systems. Recommendations for future research and implementation strategies are provided to ensure effective use of AI in diabetes management.