Latest AI and machine learning research in diabetes for healthcare professionals.
OBJECTIVES: Adherence to the American Diabetes Association (ADA) Standards of Medical Care is low. T...
INTRODUCTION: Diabetic foot ulcers (DFUs) are a severe complication among diabetic patients, often l...
In order to evaluate the relationship between coronary heart disease (CHD) and fractional flow reser...
Accurate non-invasive monitoring of blood glucose (BG) is a challenging issue in the therapy of diab...
BACKGROUND: Identification of individuals with prediabetes who are at high risk of developing diabet...
Diabetic retinopathy (DR) is a retinal disease caused by diabetes. If there is no intervention, it m...
OBJECTIVE: This study aims to analyze the application and clinical translation value of the self-evo...
Diabetes mellitus (DM) presents a critical global health challenge, characterized by persistent hype...
In this study, we redefine the diagnostic landscape of diabetic ulcers (DUs), a major diabetes compl...
BACKGROUND: It remains unclear which early gestational biomarkers can be used in predicting later de...
BACKGROUND: The current study sets out to develop and validate a robust machine-learning model utili...
Diabetic retinopathy (DR), a leading cause of blindness in diabetic patients, necessitates the preci...
BACKGROUND: The present study evaluated the effects of cranberry juice enriched with omega-3 on infl...
PURPOSE OF REVIEW: Given the increasing global burden of diabetic retinopathy and the rapid advancem...
BACKGROUND: According to previous reports, very high percentages of individuals in Saudi Arabia are ...
OBJECTIVE: To assess the feasibility of using non-mydriatic fundus photography in conjunction with a...
AIMS: Abnormalities in specific echocardiographic parameters and cardiac biomarkers have been report...
Diabetes mellitus is a prevalent chronic disease necessitating timely identification for effective m...
Diabetic retinopathy (DR) is one of the leading causes of vision loss in adults and is one of the de...
Objective The present study evaluated the usefulness of machine learning (ML) models with the corona...
INTRODUCTION: The aim of this study was to compare various machine learning algorithms for construct...