Latest AI and machine learning research in diabetes for healthcare professionals.
Ten percent of adults in the United States have a diagnosis of diabetes and up to a third of these i...
BACKGROUND: Type 2 diabetes (T2D) continues to present a global public health challenge due to its i...
CONTEXT: Large-for-gestational-age (LGA), one of the most common complications of gestational diabet...
In recent years, the rapid development of artificial intelligence (AI) has brought innovative opport...
Previous research has established type 2 diabetes mellitus as a significant risk factor for various ...
BACKGROUND: Glucose metabolism plays a critical role in the development and progression of kidney re...
PURPOSE: To develop a deep learning method for vessel segmentation in fundus images, measure retinal...
OBJECTIVE: Diabetic retinopathy (DR) screening rates are poor in remote Western Australia where comm...
BACKGROUND: Insulin resistance, lipotoxicity, and mitochondrial dysfunction contribute to the pathog...
PURPOSE: Loss of retinal perfusion is associated with both onset and worsening of diabetic retinopat...
Diabetes mellitus is a complex metabolic disorder and one of the fastest-growing global public healt...
The increasing prevalence of preventable chronic disease in Canada poses significant challenges to b...
There is mounting interest in the possibility that metformin, indicated for glycemic control in type...
SUMMARY: Polygenic risk scores (PRSs) hold promise for early disease diagnosis and personalized trea...
The dose-response relationship between metformin and change in hemoglobin A1c (HbA1c) shows a maximu...
PURPOSE: To assess the Gaiha Prio Retino +™ Artificial Intelligence (AI) software for detecting diab...
OBJECTIVE: To establish and validate a novel diabetic retinopathy (DR) risk-prediction model using a...
BACKGROUND: Diabetes is a chronic condition that significantly impacts the cardiovascular system and...
BACKGROUND/PURPOSE OF THE STUDY: Type 2 diabetes mellitus (T2DM)-one of the fastest globally spreadi...
Elevated consumption of sugar-sweetened beverages (SSBs) has been associated with an increase in obe...
BACKGROUND: To establish a classification model for assisting the diagnosis of type 2 diabetes melli...