Latest AI and machine learning research in endocrinology for healthcare professionals.
Bipolar disorder (BD) and major depressive disorder (MDD) are highly prevalent, disabling psychiatri...
OBJECTIVE: To explore the application value of a combined model automatic segmentation-based radiomi...
BACKGROUND: Graves' disease (GD), a leading cause of hyperthyroidism, exhibits heterogeneous respons...
Endometriosis (EM) affects approximately 10% of women of reproductive age and remains a prevalent es...
BACKGROUND: Diabetes mellitus is a metabolic disorder; understanding the pathogenic mechanisms under...
PURPOSE: An important function of continuous glucose monitoring (CGM) is to alert individuals with t...
This study presents BRAIN-META, a reproducible deep learning methodology designed for multi-class br...
The biological clock enables organisms to align their intrinsic rhythms with daily environmental cyc...
Artificial intelligence (AI) is increasingly used in reproductive endocrinology and infertility (REI...
BACKGROUND: Diagnosing central adrenal insufficiency (CAI) is challenging in patients with inconclus...
BACKGROUND: Male factor infertility accounts for up to 50% of couples' inability to conceive. Despit...
The mechanisms underlying lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remain el...
BACKGROUND AND AIMS: Insulin resistance (IR) and hepatic fibrosis are significant yet underexplored ...
BACKGROUND AND OBJECTIVE: Medullary thyroid carcinoma (MTC) is an aggressive malignancy driven predo...
Endometrial cancer represents a major global health concern, with rising incidence particularly in d...
BACKGROUND: Steroid hormone profiles in affective disorders suggest hypothalamic-pituitary-adrenal (...
INTRODUCTION: Artificial intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, o...
Glucagon-like peptide-1 (GLP-1), a pivotal incretin hormone modulating glycemic homeostasis, has eme...
Accurate identification of carcinogenic hazards is essential for public health protection, yet tradi...
INTRODUCTION: Optimizing the diagnostic approach to thyroid nodules remains a crucial challenge. Ult...
AIMS: While cardiovascular-kidney-metabolic (CKM) syndrome has been recognised as a continuum of int...