Hormonal

Artificial intelligence techniques, including fuzzy logic, neural networks, and reinforcement learning, are effective tools for automating blood glucose control and prediction in diabetes management, improving glycemic outcomes and reducing hypoglycemia risk compared to traditional methods or manual management.

For patients using insulin pumps or continuous glucose monitors (CGM), AI-driven 'artificial pancreas' systems can automatically adjust insulin delivery based on real-time glucose readings. This technology has been shown in multiple studies to improve blood sugar control and reduce dangerous low-blood-sugar events, particularly at night, compared to standard pump therapy. Patients should consult their endocrinologist about AI-integrated devices if they struggle with manual dose calculations or frequent hypoglycemia.