Latest AI and machine learning research in diabetes for healthcare professionals.
AIMS: Studies on machine learning (ML) for the prediction of diabetic nephropathy (DN) in type 1 dia...
BACKGROUND: Diabetic retinopathy (DR), a prevalent complication in patients with type 2 diabetes, ha...
BACKGROUND: Type 2 diabetes mellitus (T2DM) is a global health problem characterized by insulin resi...
BACKGROUND: Gestational weight gain (GWG) is a critical factor influencing maternal and fetal health...
OBJECTIVE: To determine circulating endothelial progenitor cells (EPC) counts and levels of inflamma...
The accuracy of screening diabetes from non-diabetes is drastically enhanced by strategically upgrad...
Accurate multi-lesion segmentation together with automated grading on fundus images played a vital r...
BACKGROUND: Type II diabetes mellitus (T2DM) is strongly linked with a heightened risk of coronary a...
BACKGROUND: This study aimed to characterize the oral and gut microbiota in prediabetes mellitus (Pr...
Diabetes management is often complicated by comorbidities, requiring complex medication regimens tha...
The escalating prevalence of diabetes mellitus underscores the critical need for non-invasive screen...
This study aimed to construct a high-performance prediction and diagnosis model for type 2 diabetic ...
Retinal conditions like age-related macular degeneration (AMD), diabetic retinopathy, central serous...
BACKGROUND: Acute kidney injury (AKI) and contrast-induced nephropathy (CIN) are common complication...
BACKGROUND AND OBJECTIVE: Binge eating disorder (BED) is the most frequent eating disorder, often co...
BACKGROUND: Early detection and intervention are crucial for preventing vision-threatening diabetic ...
PURPOSE: To assess the appropriateness and readability of responses provided by four large language ...
Peptide hormones were first used in medicine in the early 20th century, with the pivotal event being...
OBJECTIVES: The aim of the study was to analyze the data of diabetic patients regarding warning sign...
AIMS: We aimed to create a predictive model utilizing machine learning (ML) to identify new cases of...
PURPOSE: To validate the performance of autonomous diabetic retinopathy (DR) grading by comparing a ...