Latest AI and machine learning research in diabetes for healthcare professionals.
OBJECTIVE: To assess the effectiveness of different machine learning models in estimating the pharma...
As different monosaccharides exhibit different redox characteristics, this paper presented a novel c...
AIM: To explore biomarkers that can predict the response of type 2 diabetes (T2D) patients to metfor...
Fluorescence spectroscopy coupled with a random forest machine learning algorithm offers a promising...
Effective blood glucose management is crucial for people with diabetes to avoid acute complications....
Despite new pharmacotherapy, most patients with long-term type 2 diabetes are still hyperglycemic. ...
IgA nephropathy progresses to kidney failure, making early detection important. However, definitive ...
The aim of this study was to develop and validate a prediction model based on continuous glucose mo...
BACKGROUND: Diabetes is a chronic condition that can result in many long-term physiological, metabol...
BACKGROUND AND OBJECTIVES: Optical coherence tomography (OCT) has ushered in a transformative era in...
BACKGROUND: Diabetic retinopathy (DR) is one of the most common complications of diabetes mellitus. ...
Image-based artificial intelligence (AI) systems stand as the major modality for evaluating ophthalm...
Vascular aging exacerbates diabetes-associated vascular damage, a major cause of microvascular and m...
INTRODUCTION: With the increasing prevalence of type 2 diabetes mellitus (T2DM), there is an urgent ...
The current diagnosis of diabetic retinopathy is based on fundus images and clinical experience. How...
BACKGROUND: Diabetes is a significant health threat, with its prevalence and burden increasing world...
BACKGROUND: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Artificia...
BACKGROUND: Evidence on the practical application of artificial intelligence (AI)-based diabetic ret...
BACKGROUND/AIMS: National guidelines of many countries set screening intervals for diabetic retinopa...
Current assessment methods for diabetic foot ulcers (DFUs) lack objectivity and consistency, posing ...
BACKGROUND: This study aims to identify unique metabolomics biomarkers associated with Type 2 Diabet...