Latest AI and machine learning research in endocrinology for healthcare professionals.
Diabetic nephropathy is a serious complication of diabetes, and primary Sjögren's syndrome is a dise...
Thyroid nodules are commonly diagnosed with ultrasonography, which includes internal characteristics...
The current thyroid ultrasound relies heavily on the experience and skills of the sonographer and th...
PURPOSE: The incidence of thyroid cancer is growing fast and surgery is the most significant treatme...
INTRODUCTION: Metabolic syndrome (MetS) is considered to be an important parameter of cardio-metabol...
BACKGROUND: Sepsis is a severe form of systemic inflammatory response syndrome that is caused by inf...
Diabetes Mellitus is one of the oldest diseases known to humankind, dating back to ancient Egypt. Th...
INTRODUCTION: Ultrasound is instrumental in the early detection of thyroid nodules, which is crucial...
Levothyroxine is one of the most prescribed drugs in the western world. Dosing is challenging due to...
BACKGROUND: Hemoglobin (Hb) is an important protein in red blood cells and a crucial diagnostic indi...
Chemical and pharmaceutical chemicals found in water sources create substantial risks to human healt...
BACKGROUND AND OBJECTIVE: The thyroid gland, a key component of the endocrine system, is pivotal in ...
BACKGROUND: Type 2 Diabetes Mellitus (T2DM) presents a significant healthcare challenge, with consid...
We previously developed a machine learning (ML)-assisted system for predicting the clinical activit...
Deep learning techniques have been investigated for the computer-aided diagnosis of thyroid nodules ...
This study aimed to identify the main themes from exit interviews of adult patients with type 2 diab...
BACKGROUND: Diabetes mellitus (DM) is a prevalent chronic disease marked by significant metabolic dy...
Accurate glucose prediction is vital for diabetes management. Artificial intelligence and artificial...
Pediatric papillary thyroid carcinomas (PPTCs) exhibit high inter-tumor heterogeneity and currently ...
To date, there are no widely implemented machine learning (ML) models that predict progression from...
Free Fatty Acid Receptor 4 (FFAR4), a G-protein-coupled receptor, is responsible for triggering intr...