Latest AI and machine learning research in diabetes for healthcare professionals.
Diabetic kidney disease (DKD) is a serious healthcare dilemma. Nonetheless, the interplay between th...
Early detection of Diabetic Retinopathy (DR) is vital for preserving vision and preventing deteriora...
INTRODUCTION: Cellular Communication Network Factor 6 (CCN6) is an adipokine whose production underg...
PURPOSE: To assess the rate of retinal vascularization derived from ultra-widefield (UWF) imaging-ba...
Effect heterogeneity analyses using causal machine learning algorithms have gained popularity in rec...
BACKGROUND: Diabetic retinopathy (DR) is a common complication of diabetes, with Endoplasmic reticul...
IMPORTANCE: While prospective studies have investigated the accuracy of artificial intelligence (AI)...
BACKGROUND: Machine learning (ML) models are being increasingly employed to predict the risk of deve...
AIMS: Several Artificial Intelligence (AI) based predictive tools have been developed to predict non...
Developing reliable noninvasive diagnostic and monitoring systems for diabetes remains a significant...
The integration of artificial intelligence (AI) in ophthalmology is transforming the field, offering...
The retina is an important part of the eye that aids in focusing light and visual recognition to the...
BACKGROUND: Nocturnal hypoglycemia poses significant risks to individuals with insulin-treated diabe...
INTRODUCTION: Current methods to detect hypoglycemia in type 1 diabetes (T1D) require invasive senso...
Diabetic foot ulcers (DFUs) are a common and serious complication of diabetes, presenting as open so...
To analyze radiomics features of cardiac adipose tissue in individuals with type 2 diabetes (T2DM) a...
BACKGROUND: Gestational diabetes mellitus (GDM) is globally recognized as a significant pregnancy-re...
Diabetic retinopathy (DR), the leading cause of vision loss among diabetic adults worldwide, undersc...
Diabetes-related cognitive impairment (DCI) is a severe complication of type 2 diabetes mellitus (T2...
OBJECTIVE: This study aimed to develop and compare machine learning models for predicting diabetic r...
Interleukin-6 (IL-6) plays a pivotal role in the inflammatory response of diabetic wounds, providing...