Latest AI and machine learning research in diabetes for healthcare professionals.
PURPOSE: To evaluate the performance of a deep learning algorithm in the detection of referral-warra...
BACKGROUND/OBJECTIVES: The exposure to sucrose in rats has mimic abnormalities attributed to metabol...
Proliferative retinopathies, such as diabetic retinopathy and retinopathy of prematurity, are leadin...
BACKGROUND: Diabetic retinopathy and kidney disease share underlying mechanisms of microvascular dam...
OBJECTIVE: Diabetes insipidus (DI) can be classified into 2 types: central/neurogenic DI and nephrog...
BACKGROUND: Diabetic retinopathy screening is instrumental to preventing blindness, but scaling up s...
Glaucoma, the group of eye diseases is characterized by increased intraocular pressure, optic neurop...
STELLA-LONG TERM, a 3-year post-marketing surveillance study, evaluated the safety and effectiveness...
This study aimed to examine whether the diagnostic accuracy of four noninvasive tests (NITs) for det...
In this study, we propose a personalized glucose prediction model using deep learning for hospitaliz...
Gestational diabetes mellitus (GDM) is a hyperglycaemic imbalance first recognized during pregnancy,...
Over 60 % of people over the age of 65 will suffer from multiple diseases concomitantly but the comm...
PURPOSE: To evaluate the diagnostic accuracy of a diagnostic system software for the automated scree...
PURPOSE: To evaluate the clinical usefulness of a quantitative deep learning-derived vascular severi...
BACKGROUND: A risk assessment tool has been developed for automated estimation of level of neuropath...
BACKGROUND: Pharmacological factors used to induce insulin resistance (IR) in models may not mimic ...
BACKGROUND: Cytokines are a class of small proteins that act as chemical messengers and play a signi...
INTRODUCTION: The prepubertal stage is a critical period of body fat development, in which leptin an...
Similar to the worldwide proliferation of urbanization, micropollutants have been involved in aquati...
An etiologically based classification of diabetes is needed to account for the heterogeneity of type...
Considering current insulin action profiles and the nature of glycemic responses to insulin, there ...