Latest AI and machine learning research in endocrinology for healthcare professionals.
One of the most difficult challenges in pediatric telemedicine is to accurately discriminate between...
Steroid hormone profiles in affective disorders suggest hypothalamic– pituitary–adrenal (HPA) axis d...
Obesity, a leading global risk factor for cardiometabolic conditions, arises from multifaceted and b...
Cystic fibrosis-related diabetes (CFRD) affects up to 60% of adults with CF and contributes to poore...
PCOS is recognized as a major health concern affecting women around the world. Early detection and t...
Synthetic data generated using generative models trained on real clinical data offers a promising so...
Large language models (LLMs) have fundamentally changed how patients and clinicians retrieve informa...
Brain tumor classification using MRI scans is crucial for early diagnosis and treatment planning. In...
The VISION study1 found that Lutetium-177 (177Lu)–PSMA-617 (“Lu-177”) improved overall survival in m...
Diabetes-related foot ulcers (DFUs) are a serious complication of diabetes, often resulting in infec...
Small open-source medical large language models (LLMs) offer promising opportunities for low-resourc...
Deep learning models applied to digital histology can predict gene expression signatures (GES) and o...
White adipose tissue dysfunction has emerged as a critical factor in cardiometabolic disease develop...
For accurate medication usage statistics and medication adherence calculations, we need to have an a...
Early diabetes detection remains challenging, requiring robust machine learning approaches that bala...
This study evaluated the prognostic performance of RlapsRisk BC, a multimodal deep learning tool des...
Real-world adoption of closed-loop insulin delivery systems (CLIDS) in type 1 diabetes remains low, ...
Cardiovascular-kidney-metabolic (CKM) syndrome is a newly defined multisystem disease continuum char...
Diabetes, hypertension, and dyslipidemia are major risk factors for cardiovascular (CVD), cerebral, ...
Type 2 diabetes mellitus (T2DM) affects almost half a billion people, and the projected cost is $2.2...
To develop and evaluate a novel self-supervised learning approach using Masked Autoencoder (MAE) pre...