Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVES: Adrenal tumors can be functional or malignant, yet they are often overlooked in abdominal CT. This study aimed to develop and validate a fully automated deep learning model for adrenal mass detection and measurement in contrast-enhanced abdominal CT. MATERIALS AND METHODS: This retrospective study included 415 CT scans with (n = 155) and without (n = 260) adrenal masses for model devel...
BACKGROUND: Physical frailty and cognitive frailty are increasingly recognized as critical geriatric syndromes among older adults with diabetes, contributing to adverse outcomes such as disability, hospitalization, and mortality. Early identification of individuals at high risk is therefore essential for timely prevention and intervention. Although a growing number of prediction models have been d...
BACKGROUND: Diabetic kidney disease (DKD) progresses to end-stage renal disease more rapidly than chronic kidney disease due to persistent hyperglycem...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a leading chronic liver disorder closely linked to diabetes mellitus (...
The heterogeneity of breast cancer at molecular and histological levels poses significant challenges for precise diagnosis and treatment. Current mole...
Early caregiving relationships shape the coordination of stress and immune systems, yet their biological correlates in early infancy remain insufficie...
The field of personalised nutrition is growing and is based on the concept that delivering personalised dietary advice will be more effective than gen...
Osteoporosis is a common metabolic bone disorder characterized by reduced bone mass and compromised skeletal microstructure, increasing fracture risk....
OBJECTIVE: Refeeding syndrome (RFS) is a common yet frequently overlooked complication during postoperative nutritional support in patients undergoing...
Smart wound dressings capable of real-time environmental monitoring and therapeutic intervention are crucial for managing difficult-to-heal wounds. He...
BACKGROUND/OBJECTIVES: The consistency of pituitary adenoma (PA) significantly impacts surgical difficulty and the extent of resection. Machine learni...
BACKGROUND: The triglyceride-glucose index (TyG) and atherogenic index of plasma (AIP) are emerging metabolic biomarkers associated with cardiovascula...
Bioactive flavor molecules (e.g., eugenol, cinnamaldehyde, capsaicin) regulate appetite and energy metabolism via the gut-brain axis, yet their multi-...
PURPOSE: To identify retinal microvascular features that distinguish normoglycemia from diabetes mellitus (DM)[Study-1] and prediabetes (PreDM)[Study-...
The sodium-iodide symporter (NIS, SLC5A5) plays a crucial role in thyroid hormone synthesis. Especially during brain development, correct thyroid sign...
Understanding the relative orientation of protein secondary structure elements is crucial for elucidating their tertiary organization, function, and i...
Magnetic resonance imaging (MRI) is central to noninvasive brain tumor assessment, yet clinical uptake of artificial intelligence depends on both accu...
PURPOSE: We aimed to identify key midlife dementia predictors and develop a novel machine learning (ML) -enabled risk prediction model. METHODS: Using...
BACKGROUND: Benign adrenal tumours, found in 1-7% of adults, can be non-functioning (NFAT) or show mild autonomous cortisol secretion (MACS), i.e., bi...
Objective.To develop an efficient deep learning framework for precise three-dimensional (3D) segmentation of complex orbital structures in multi-seque...