Tag Archives: AI in diabetes care

For people with diabetes, a retinal photograph has traditionally answered one major question: Is diabetic retinopathy developing? However, artificial intelligence is beginning to uncover much more. Emerging retinal AI models for systemic risk assessment can detect patterns associated with cardiovascular disease, kidney disease, blood pressure, and metabolic health. As a …

What happens when breakthrough treatments only reach the few who can afford or access them? That’s the growing dilemma in diabetes care. As GLP‑1 medications, digital tools, and AI reshape how we treat this chronic disease, the risk is clear: innovation could deepen inequality if we don’t act intentionally. Equity …

AI decision support in diabetes care is reshaping how clinicians manage continuous glucose monitoring (CGM) and insulin dosing. These tools deliver quick data-driven recommendations, raising key questions: How do we preserve clinical judgment? Where does AI end and provider expertise begin? This article explains how to safely evaluate and use …