Latest AI and machine learning research in endocrinology for healthcare professionals.
BACKGROUND: Incidental findings in the Emergency Department (ED) are often not acted upon due to acu...
BACKGROUND: YouTube is increasingly used for healthcasting, the sharing of evidence-based dietary an...
BACKGROUND: The stress hyperglycemia ratio (SHR) is increasingly recognized as a reliable biomarker ...
Obesity, historically defined by body mass index and waist circumference, is a major risk factor for...
OBJECTIVE: To investigate the predictive value of the estimated glucose disposal rate (eGDR) for chr...
Traditional large-scale production and standardized interventions cannot address the risks due to in...
PURPOSE: To develop and evaluate an AI model for the segmentation of extraocular muscles (EOMs) usin...
Microplastics (MPs) have been identified as major environmental contaminants that can affect organis...
BACKGROUND: Early prediction of gestational diabetes mellitus (GDM) is critical for improving matern...
OBJECTIVE: To develop and validate a deep learning model integrating multi-modal ultrasound informat...
This study proposes a novel U-Net-based convolutional neural network for blood glucose prediction by...
Despite thorough characterizations of cellular compositions within the breast tumor microenvironment...
Diabetic kidney disease (DKD) is a major and severe complication associated with diabetes. Air pollu...
Although previous studies have suggested that environmental temperature may influence male reproduct...
Type 2 diabetic osteoporosis (T2DOP) is a significant complication of type 2 diabetes, characterized...
BACKGROUND: Pediatric idiopathic intracranial hypertension can be challenging to diagnose; magnetic ...
BACKGROUND: Recombinant glucokinase (GLK), an important enzyme for blood glucose diagnostics, is com...
Diethylene glycol dibenzoate (DEGDB), an emerging eco-friendly plasticizer, remains critically under...
Screening for endogenous anabolic-androgenic steroid abuse has long relied on the urinary testostero...
We systematically map the evidence on optical coherence tomography (OCT) biomarkers-mainly disorgani...
BACKGROUND: The triglyceride-glucose (TyG) index has increasingly been recognised an indicator for s...