Devices

Continuous glucose monitoring has transformed diabetes care, but are we fully using the data it provides? In 2026, time in range is moving beyond a simple CGM metric and becoming a formal therapeutic target in diabetes care. While A1C remains important, time in range (TIR) offers a more dynamic and …

In 2026, diabetic retinopathy screening is entering a new era driven by artificial intelligence, tele-retinal imaging, and smarter integration into primary care workflows. Despite improved glucose monitoring and widespread use of CGM systems, diabetic retinopathy remains a leading cause of preventable blindness in adults with diabetes. So how can clinicians …

Continuous glucose monitoring was once reserved for endocrinology clinics. Today, integrating CGM into primary care is essential as guidelines recommend earlier and broader use in both type 1 and type 2 diabetes. Yet many clinicians still feel unsure about how to interpret reports or fit CGM into a busy visit. …

What if your next diabetes appointment started before you even walked in—an algorithm already having reviewed your CGM data, flagged risks, and drafted a care plan? That’s not science fiction. It’s the emerging reality of AI-powered workflows for diabetes care, where intelligent systems work behind the scenes to support clinicians …

Artificial intelligence (AI) is transforming many aspects of diabetes care, and smart insulin management powered by AI is quickly becoming one of its most promising innovations. Tools that read continuous glucose monitor (CGM) data and suggest insulin changes are rapidly entering clinical use. But while these tools are powerful, they …

Diabetic ketoacidosis (DKA) continues to be one of the most dangerous acute complications faced by people with diabetes, particularly those on insulin or SGLT2 inhibitors. While traditional approaches rely on intermittent blood ketone checks, a new frontier is emerging—continuous ketone monitoring for DKA prevention. This article explores how this technology …

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 …

With diabetes technology evolving rapidly, clinicians face more choices than ever before. From continuous glucose monitors (CGMs) to insulin pumps and patch devices, today’s tools can transform diabetes care—but only when matched to the right patient. This article provides a comprehensive diabetes technology comparison, helping you understand each option’s features, …

As diabetes technology advances, hybrid closed‑loop systems are no longer exclusive to type 1 diabetes. In recent years, their use in insulin-treated type 2 diabetes has gained attention. These systems promise better glucose control and improved quality of life by automating much of the insulin delivery process. But are they …

As diabetes technology evolves at lightning speed, clinics are under increasing pressure to evaluate a growing range of tools—from continuous glucose monitors (CGMs) and insulin pumps to smartphone apps and cloud platforms. But how can healthcare providers make safe, informed decisions about which tools to recommend? A clear, structured diabetes …