Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVE: Accurately predicting glucose levels is essential for effectively managing type 1 diabete...
The application of deep learning-based reconstruction (DLR) to magnetic resonance imaging (MRI) has ...
BACKGROUND: Diabetes and its risk factors are embedded in a complex multilevel ecology. Upstream fac...
Honey adulteration is a prevalent economic fraud that demands robust and reliable detection methods....
Accurate estimation of meal-level nutritional content from food images is a challenging yet essentia...
Nasopharyngeal carcinoma (NPC) is a prevalent malignancy with a distinct geographical distribution. ...
This study aims to investigate the association between triglyceride-glucose (TyG) index and risk of ...
BACKGROUND: Tuberculosis (TB) continues to be a major cause of global morbidity and mortality, parti...
Accurate and rapid determination of tumor histopathological features and molecular subtypes is criti...
Major depressive disorder (MDD) is strongly associated with suicide risk. While lipid metabolism dys...
PURPOSE: To develop and benchmark a unified Deep Learning (DL) pipeline for automated detection and ...
Erectile dysfunction (ED) is a prevalent complication of both type 1 and type 2 diabetes mellitus (D...
In modern dairy production, cattle are routinely exposed to a wide range of management-related, envi...
The complex interdependence between cancer and diabetes has become a major subject of research in mo...
Bisphenol A (BPA), a ubiquitous environmental endocrine-disrupting chemical extensively used in plas...
BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome refers to the co-occurrence of obesity, d...
Maintaining consistent quality in the manufacturing of biotherapeutic proteins in mammalian cell cul...
Although significant progress has been achieved in diagnosing papillary thyroid carcinoma (PTC), it ...
AIM: To evaluate a real-world clinical integration of an autonomous artificial intelligence (AI) sys...
PURPOSE: To evaluate the diagnostic performance of a regulatory-approved (CE-marked) artificial inte...
OBJECTIVES: This study aimed to systematically evaluate whether glycemic variability (GV) could prov...