Latest AI and machine learning research in endocrinology for healthcare professionals.
INTRODUCTION: In recent years, artificial intelligence (AI) tools have become widely studied for thy...
Post-translational modifications (PTMs) play a crucial role in allowing cells to expand the function...
OBJECTIVE: Pituitary adenomas (PAs), craniopharyngiomas (CRs), Rathke's cleft cysts (RCCs), and tube...
Although using artificial intelligence (AI) to analyze ultrasound images is a promising approach to ...
Dipeptidyl peptidase-IV (DPP-IV) is a circulating blood biomarker that diagnose pancreatic and thyro...
Type 2 diabetes mellitus (T2DM) is a widespread metabolic disorder characterized by impaired regulat...
This research letter presents a cross-sectional analysis comparing the agreement between artificial ...
Enzyme cascades have attracted widespread attention owing to the exceptional specificity and efficie...
BACKGROUND: The adrenal glands are small retroperitoneal organs, few reference standards exist for a...
Anoikis and immune cell infiltration are pivotal factors in the pathophysiological mechanism of diab...
Polycystic ovary syndrome (PCOS) is a heterogeneous multifactorial endocrine disorder that affects o...
In Parkinson's disease (PD), the disturbance of energy metabolism due to glucose metabolic reprogram...
AIMS/HYPOTHESIS: Individuals with type 1 diabetes are at increased cardiovascular risk, particularly...
Environmental estrogens (EEs), as typical endocrine-disrupting chemicals (EDCs), can bind to classic...
Accelerating drug discovery for glucocorticoid receptor (GR)-related disorders, including innovative...
Recent advancements in deep learning have significantly impacted medical image processing domain, en...
PURPOSE: Proliferative Diabetic Retinopathy (PDR) is a severe complication of diabetes characterized...
PURPOSE: Automated localization of critical anatomical structures in endoscopic pituitary surgery is...
BACKGROUND AND AIMS: Low muscle mass (LMM) is a critical complication in patients with obesity and d...
Brain tumor detection is essential for early diagnosis and successful treatment, both of which can s...
The use of machine learning to integrate and analyse multimodal information has broad prospects for ...