Latest AI and machine learning research in endocrinology for healthcare professionals.
Diabetes is a chronic disease that significantly increases the risk of serious complications such as...
RATIONALE AND OBJECTIVES: Molecular subtyping of pituitary neuroendocrine tumors (PitNETs [pituitary...
BACKGROUND: The burden of chronic kidney disease (CKD) continues to grow, affecting over 850 million...
PURPOSE: To investigate the predictive value of deep learning (nnU-Net)-based fully automated quanti...
PURPOSE: Surgical resection is an important treatment modality for prolactinomas, yet approximately ...
Blood glucose monitoring remains challenging due to the invasiveness of finger-prick methods, enzyme...
This study compared five machine learning algorithms-Random Forest (RF), Support Vector Machine (SVM...
The incidence of thyroid cancer has increased dramatically over the past four decades, making it the...
The textile industry produces waste contaminated with toxic dye chemicals like indigo which presents...
BACKGROUND: Differentiated thyroid carcinoma (DTC) responses to initial post-operative I-131 therapy...
BACKGROUND: CT-derived body composition parameters are associated with clinical outcomes in clear ce...
UNLABELLED: Sex differences in the humoral immune responses to the seasonal quadrivalent influenza v...
The human gut-brain axis (GBA) is increasingly recognized as a complex bidirectional communication s...
OBJECTIVE: To assess the readability and quality of online patient education materials regarding thy...
BACKGROUND: New York City (NYC) launched the HealthyNYC initiative in 2025, aiming to reduce cardiov...
OBJECTIVE: Dual-energy CT (DECT) at 50 keV increases iodine attenuation but exponentially amplifies ...
Mitochondrial network organization in skeletal muscle reflects metabolic health and is disrupted in ...
BACKGROUND: The role of automated insulin delivery systems in type 1 diabetes mellitus (T1DM) is con...
Information linking diet with the gut microbiome in bariatric surgery is limited. This pilot study e...
Artificial intelligence (AI), particularly deep learning (DL), has rapidly transformed thyroid nodul...
Diabetes management faces a number of obstacles, such as fragmented healthcare data, privacy concern...