Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVES: To develop a deep learning-based multimodal framework for automated segmentation of orbi...
OBJECTIVE: This study aimed to develop and validate a predictive model incorporating early VRR slope...
Around 10% of global births are preterm (before 37Â weeks of gestation), posing a significant challen...
BACKGROUND: Conventional clinical markers guide cardiovascular risk stratification; however, continu...
BACKGROUND: Accurate prediction of mortality after percutaneous coronary intervention (PCI) remains ...
Molecular testing can refine the prediction of cancer recurrence. We sought to compare patterns of g...
OBJECTIVE: To develop and validate a multimodal deep learning model that predicts treatment response...
INTRODUCTION: The prevalence of Parkinson's disease (PD) has increased globally, especially in China...
Endocrine disrupting chemicals (EDCs) are associated with various adverse health outcomes, thus nece...
OBJECTIVE: To assess long-term trends, regional disparities, determinants, and quality of care for t...
Diabetes is associated with progressive microvascular remodelling, commonly assessed using retinal i...
The common marmoset is a key model in translational neuroscience, yet the reliance on anesthesia for...
BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic metabolic illness that severely alters oral...
Diabetes mellitus remains one of the most widespread and burdensome chronic diseases worldwide, yet ...
BACKGROUND: Cardiometabolic multimorbidity (CMM) poses a growing global health burden, yet few studi...
PURPOSE: To benchmark multiple automated machine learning (AutoML) platforms for diabetic retinopath...
BACKGROUND: Detecting pituitary microadenomas using non-contrast multi-parametric magnetic resonance...
This article presents the design and the numerical analysis of a smart label-free Surface Plasmon Re...
The gut microbiome supports digestion, immunity, and metabolism; its imbalance (dysbiosis) drives in...
INTRODUCTION: The aim of this study was to create meaningful clusters of individuals with similar fe...