Latest AI and machine learning research in diabetes for healthcare professionals.
BACKGROUND: Diabetic foot ulcers (DFU) represent one of the most severe complications of diabetes me...
BACKGROUND AND OBJECTIVES: Social determinants of health (SDOH) play a critical role in the onset an...
Causal effect estimation of individual heterogeneity is a core issue in the field of causal inferenc...
The medical literature and records on diabetes provide crucial resources for diabetes prevention and...
In the realm of cardiovascular medicine, medical imaging plays a crucial role in accurately classify...
Chronic wounds and associated complications present ever growing burdens for clinics and hospitals w...
The insulin receptor (IR) is a transmembrane protein that controls glucose homeostasis and is highly...
Healthcare remains a critical focus due to its direct impact on human well-being. Diabetes, currentl...
This study compares the performance of various wound classification systems to determine which syste...
BACKGROUND: Managing blood glucose levels in Type 1 Diabetes Mellitus (T1DM) is essential to prevent...
OBJECTIVE: Diabetes Insipidus (DI) is a common complication that occurs following transsphenoidal su...
Diabetes mellitus (DM), a prevalent metabolic disorder, has significant global health implications. ...
Diabetes mellitus, a chronic metabolic disorder, is characterized by high blood glucose levels. Exte...
AIMS: To investigate the prognostic value of the glucose-to-albumin ratio (GAR) in predicting 30-day...
Diabetes mellitus (DM) is a highly prevalent chronic condition with significant health and economic ...
OBJECTIVES: To develop and validate an automated diabetic macular oedema (DME) classification system...
Diabetic foot ulcers (DFUs), a class of chronic wounds, affect ~750,000 individuals every year in ...
Retinal diseases such as Diabetic Retinopathy (DR) and Macular Hole (MH) significantly impact visi...
Hepatitis B Virus-associated membranous nephropathy (HBV-MN) significantly impacts renal health, par...
Accurate diabetes risk prediction relies on identifying key features from complex health datasets,...
The global prevalence of diabetes, particularly type 2 diabetes mellitus (T2DM), is rapidly increa...