Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVE: Accurate diagnosis of adrenal tumors, including mild autonomous cortisol secretion (MACS)...
OBJECTIVE: To investigate the longitudinal association between diabetes and changes in vertebral bon...
BACKGROUND: A potential link exists between gestational diabetes mellitus (GDM) and polyamines, yet ...
Heart failure (HF) is a complex and heterogeneous syndrome caused by diverse factors, such as atrial...
BACKGROUND: Hyperglycemic emergencies are broadly classified into diabetic ketoacidosis and hyperosm...
Brain tumors are becoming more prevalent, often leading to severe disability and high mortality rate...
AIM: Although it is well established that youth with type 1 Diabetes (T1D) experience high rates of ...
Understanding how demographics and risk factors differentially affect the nonlinear orthotropic mech...
An effective diagnosis system and suitable treatment planning require the precise segmentation of th...
BACKGROUND: The APOBEC (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like) family pla...
BACKGROUND: Pancreatic cellular heterogeneity is fundamental to systemic metabolic regulation, yet i...
OBJECTIVES: The success of artificial intelligence (AI) and machine learning (ML) approaches in biom...
BACKGROUND: Thyroid incidentalomas (TIs) are incidental thyroid lesions detected on fluorodeoxy-d-gl...
Deep learning models for diagnostic applications require large amounts of sensitive patient data, ra...
Diabetes is a chronic condition brought on by either an inability to use insulin effectively or a la...
The increasing prevalence of type 2 diabetes (T2D) is a significant health concern worldwide. Effect...
Breast cancer is the most common cancers among women worldwide. Early diagnosis and personalized med...
The therapeutic landscape of Graves' hyperthyroidism has been rapidly evolving in the past few years...
Diabetes mellitus, particularly type 2 diabetes (T2DM), is a major global health challenge character...
OBJECTIVE: To propose a deep learning (DL) system for the preoperative diagnosis of follicular-like ...
Randomized controlled trials (RCTs) remain the benchmark for assessing treatment effects but are lim...