Latest AI and machine learning research in endocrinology for healthcare professionals.
Predictive modeling of healthcare needs to strike a balance between performance and interpretability...
BACKGROUND: Outcome prediction after Gamma Knife radiosurgery (GKRS) for pituitary adenomas remains ...
BackgroundSepsis-associated acute kidney injury (SA-AKI) is highly heterogeneous with controversial ...
Blood glucose prediction is a critical component of next-generation diabetes technologies, such as a...
OBJECTIVES: Large language models (LLMs) are increasingly proposed as clinical decision-support tool...
Pituitary neuroendocrine tumors (PitNETs) are common intracranial neoplasms with heterogeneous hormo...
OBJECTIVE: Deep learning (DL) has become state-of-the-art for blood glucose (BG) forecasting in type...
BACKGROUND: Prediabetes is highly prevalent and increasing globally, yet lifestyle interventions rem...
SIGNIFICANCE: Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease worldwide....
PURPOSE: To review the current literature on imaging modalities and segmentation techniques used to ...
Evaluating hand and wrist radiographs is essential in pediatric endocrinology and clinical genetics,...
INTRODUCTION: PCOS is a common endocrine disorder with elevated cardiometabolic risk, yet the role o...
Cancer cells exhibit metabolic reprogramming, most notably the Warburg effect, which underscores the...
Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healt...
BACKGROUND: Lipoprotein(a) [Lp(a)] reflects inherited atherothrombotic risk, whereas the C-reactive ...
RATIONALE AND OBJECTIVES: To evaluate a two-stage workflow for large language model (LLM)-assisted T...
RATIONALE AND OBJECTIVES: Pituitary neuroendocrine tumors (PitNETs) exhibit diverse biological behav...
OBJECTIVE: Precise mealtime insulin bolus (MIB) dosing is essential in type 1 diabetes (T1D) to mini...
Machine learning methods have been growing in prominence across all areas of medicine. In pathology,...
BACKGROUND: Lung cancer is a leading cause of cancer-related mortality, and its prognosis is often a...
PURPOSE: To evaluate the diagnostic accuracy, clinical utility, and workflow integration of artifici...