Latest AI and machine learning research in diabetes for healthcare professionals.
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 ...
AIMS: To develop a machine learning model for predicting rapid kidney function decline in people wit...
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to ide...
BACKGROUND AND OBJECTIVE: The aim of this study was to develop and validate explainable prediction m...
AIM: To identify potential biomarkers and explore the mechanisms underlying diabetic nephropathy (DN...
BACKGROUND: Globally, pre-eclampsia (PE) is a leading cause of maternal and perinatal morbidity and ...