Latest AI and machine learning research in endocrinology for healthcare professionals.
The use of machine learning (ML) techniques, particularly XGBoost and logistic regression, to predic...
: This is a retrospective study conducted at the Clinical County Hospital of Craiova, Romania, provi...
The glycemia risk index (GRI) is an emerging metric designed to quantify the risk of both hypo- and ...
Exposure to organochlorine pesticides (OCPs) poses significant health risks, including cancer, endoc...
BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is grow...
OBJECTIVE: This study aims to conduct an in-depth analysis of diabetic foot ulcer (DFU) images using...
A deep learning algorithm is introduced to accurately predict glucose concentrations using colorimet...
OBJECTIVE: The incidence of thyroid cancer (TC) is increasing in China, largely due to overdiagnosis...
The burden of diabetic foot ulcers (DFU) is exacerbated in diabetic patients with concomitant arteri...
Chronic disease (CD) like diabetes and stroke impacts global healthcare extensively, and continuous ...
OBJECTIVE: To investigate the determinants affecting live birth outcomes in fresh embryo transfer am...
PURPOSE: Magnetic resonance imaging (MRI) is an essential technique for diagnosing pituitary adenoma...
BACKGROUND AND OBJECTIVE: Type 1 Diabetes (T1D) is an autoimmune disease that requires exogenous ins...
The early detection of brain tumors is very important for treating them and improving the quality of...
INTRODUCTION: Membranous nephropathy is an autoimmune kidney disease and the most common cause of ne...
BACKGROUND: Metabolic syndrome (MetS) is a complex condition that captures several markers of dysreg...
PURPOSE: To compare two artificial intelligence (AI) models, residual neural networks ResNet-50 and ...
IntroductionThyroid cancer is a common malignant tumor, and early diagnosis and timely treatment are...
OBJECTIVE: This study aims to characterize and analyze the expression of representative biomarkers l...
Despite improvements in machine learning algorithms applied to digital pathology, only moderate accu...
Diabetes is a global health crisis with rising incidence, mortality, and economic burden. Traditiona...