Tag Archives: artificial intelligence

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 …

Modern diabetes clinical trials look very different from the tightly controlled, site-centered studies clinicians relied on a decade ago. Remote visits, continuous glucose monitoring, wearable sensors, digital data collection, and broader enrollment are changing how evidence is generated. Meanwhile, newer trial designs can make studies more flexible and potentially more …

Artificial intelligence is rapidly changing how healthcare professionals diagnose disease. But can computers identify kidney damage before it becomes obvious under a microscope? Researchers believe the answer may be yes. The combination of digital pathology, artificial intelligence, and diabetic kidney disease research is opening new opportunities to identify microscopic kidney …

Diabetes affects far more than blood sugar. In fact, the earliest stages of diabetic retinal disease may begin years before an eye doctor can see the classic signs of diabetic retinopathy during a routine examination. Imagine a smoke detector that alerts you before you ever see flames. That is the …

Every new diabetes medication must prove it is both safe and effective before reaching patients. Traditionally, that process depends on large clinical trials that require thousands of volunteers, years of follow-up, and significant financial investment. However, what if researchers could reduce the number of participants while still producing reliable scientific …

Hospital glucose management has long relied on reactive treatment strategies, especially sliding-scale insulin protocols that respond to blood glucose after it has already risen. While this approach remains common, healthcare systems are increasingly exploring AI solutions for inpatient diabetes care that predict glucose changes before they become dangerous. Instead of …

Imagine screening for diabetes as easily as breathing into a handheld device. That idea is rapidly moving from research laboratories toward clinical reality. Scientists are developing breath tests for diabetes that analyze tiny molecules in exhaled air to identify early metabolic changes long before traditional symptoms develop. Although blood glucose …

For decades, diagnosing diabetes has depended on blood tests performed during routine medical visits. However, what if your smartwatch could recognize early warning signs before glucose levels become high enough for a formal diagnosis? Researchers are now exploring wearable technologies for diabetes screening that continuously analyze physiologic data collected throughout …

Artificial Intelligence (AI) is a rapidly growing field of technology that is increasingly being used in the medical industry. AI has the potential to revolutionize the way healthcare is delivered, and one of the areas where it is being applied is in the diagnosis and management of diabetes. This article …