Latest AI and machine learning research in diabetes for healthcare professionals.
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 ...
Rubeosis faciei diabeticorum, caused by microangiopathy and characterized by a chronic facial erythe...
PURPOSE: We proposed a deep convolutional neural network (CNN), named Retinal Fluid Segmentation Net...
Early and precise identification of individuals with prediabetes and type 2 diabetes (T2D) at risk f...
Assessment and management of children with growth failure has improved greatly over recent years. Ho...
Health data that are publicly available are valuable resources for digital health research. Several ...
Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known risk fac...
AIM: To develop and evaluate an artificial intelligence triage system with high sensitivity for dete...
BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world'...