Latest AI and machine learning research in endocrinology for healthcare professionals.
BACKGROUND: Predicting the prognosis of patients with acute myocardial infarction (AMI) combined wit...
A deep learning algorithm is introduced to accurately predict glucose concentrations using colorimet...
BACKGROUND: Diabetic kidney disease (DKD) is a common and serious complication of diabetic mellitus ...
AIMS: To evaluate the acceptability, applicability, and cost-utility of AI-powered portable fundus c...
The burden of diabetic foot ulcers (DFU) is exacerbated in diabetic patients with concomitant arteri...
OBJECTIVE: The incidence of thyroid cancer (TC) is increasing in China, largely due to overdiagnosis...
OBJECTIVE: To investigate the determinants affecting live birth outcomes in fresh embryo transfer am...
Chronic disease (CD) like diabetes and stroke impacts global healthcare extensively, and continuous ...
PURPOSE: Magnetic resonance imaging (MRI) is an essential technique for diagnosing pituitary adenoma...
Screening for diabetic retinopathy has been shown to reduce the risk of sight loss in people with di...
BACKGROUND: While ferroptosis has been recognised for its key role in tumour development, its involv...
Farnesoid X receptor (FXR) is a key regulator of bile acid, lipid, and glucose homeostasis, making i...
BACKGROUND AND OBJECTIVE: Type 1 Diabetes (T1D) is an autoimmune disease that requires exogenous ins...
INTRODUCTION: Membranous nephropathy is an autoimmune kidney disease and the most common cause of ne...
The early detection of brain tumors is very important for treating them and improving the quality of...
PURPOSE: To compare two artificial intelligence (AI) models, residual neural networks ResNet-50 and ...
BACKGROUND: Metabolic syndrome (MetS) is a complex condition that captures several markers of dysreg...
IntroductionThyroid cancer is a common malignant tumor, and early diagnosis and timely treatment are...
OBJECTIVES: Early detection of diabetic retinopathy (DR) and timely intervention are critical for pr...
OBJECTIVE: This study aimed to evaluate the impact of socioeconomic disparities on the allocation of...
OBJECTIVE: This study aims to characterize and analyze the expression of representative biomarkers l...