Latest AI and machine learning research in diabetes for healthcare professionals.
BACKGROUND: Diabetic retinopathy is a leading cause of preventable blindness, especially in low-inco...
This study investigates the value of magnetic resonance imaging (MRI) based on a deep learning algor...
BACKGROUND: Type 2 diabetes is a major health concern worldwide. The present study is aimed at disco...
The hydro-alcoholic extract of fruits was investigated for preliminary phytochemical screening and ...
The rising incidence of type 1 diabetes (T1D) among children is an increasing concern globally. A re...
OBJECTIVES: The foveal avascular zone (FAZ) is a biomarker for quantifying diabetic macular ischemia...
Diabetic Retinopathy (DR) is a predominant cause of visual impairment and loss. Approximately 285 mi...
Heart failure is the most common cause of death in both males and females around the world. Cardiova...
Chronic diabetes can lead to microvascular complications, including diabetic eye disease, diabetic k...
Patient similarity learning has attracted great research interest in biomedical informatics. Correct...
Diabetes has been recognized as a global medical problem for more than half a century. Patients with...
Diabetes is a chronic endocrine disease that occurs due to an imbalance in glucose levels and alteri...
BACKGROUND: Early detection and prediction of type two diabetes mellitus incidence by baseline measu...
INTRODUCTION AND OBJECTIVES: Patients with type 2 diabetes (T2D) and stable coronary artery disease ...
OBJECTIVE: To assess the ability of a deep learning model to distinguish between diabetic retinopath...
Non-invasive and accurate method for continuous blood glucose monitoring, the self-testing of blood ...
BACKGROUND: Previous studies have revealed that chronic kidney disease (CKD) is a significant risk f...
Diabetic retinopathy (DR) is a chronic eye condition that is rapidly growing due to the prevalence o...
Glaucoma disease is optic neuropathy; in glaucoma, the optic nerve is damaged because the long durat...
PURPOSE: To develop and validate a deep learning system for diabetic retinopathy (DR) grading based ...
Deep learning (DL) algorithms are used to diagnose diabetic retinopathy (DR). However, most of these...