Endocrinology

Latest AI and machine learning research in endocrinology for healthcare professionals.

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A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation.

Accurately segmenting the pancreas from abdominal computed tomography (CT) images is crucial for det...

Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for pre...

Association between air pollution and type II diabetes in Italy from clinical data and population-weighted exposure at the municipality level.

A growing body of literature supports the association between ambient particulate pollution and the ...

[Tips and tricks for the cytological management of cysts].

Fine needle aspiration is a well-known procedure for the diagnosis and management of solid lesions. ...

Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification.

Thyroid disease classification is a critical challenge in medical diagnostics, requiring accurate di...

Conditional universal differential equations capture population dynamics and interindividual variation in c-peptide production.

Universal differential equations (UDEs) are an emerging approach in biomedical systems biology, inte...

Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation.

Atrial fibrillation (AF) increases the risk of adverse cardiovascular events, yet the underlying bio...

Noninvasive On-Skin Biosensors for Monitoring Diabetes Mellitus.

Diabetes mellitus represents a major global health issue, driving the need for noninvasive alternati...

A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques.

Nonsuicidal self-injury (NSSI) demonstrates escalating prevalence among adolescents as a maladaptive...

Classification of Brain Tumors in MRI Images with Brain-CNXSAMNet: Integrating Hybrid ConvNeXt and Spatial Attention Module Networks.

Brain tumors (BT) can cause fatal outcomes by affecting body functions, making precise early detecti...

Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations.

BACKGROUND: Most artificial intelligence (AI) models for thyroid nodules are designed to screen for ...

Oxidative Stress Links Thyroid Autoimmunity to Cancer: Peroxiredoxin 2 Protection via Genomic and Single-Cell Insights.

This study identifies shared genetic factors linking Hashimoto's thyroiditis (HT) and thyroid cance...

Integrative transcriptomics and metabolomics reveal neuroendocrine-lipid crosstalk and adenosine signaling in broiler under heat stress.

BACKGROUND: Heat stress (HS) is a significant challenge in poultry, negatively impacting feed effici...

A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management.

The accurate prediction of blood glucose is critical for the effective management of diabetes. Moder...

Transfer learning prediction of type 2 diabetes with unpaired clinical and genetic data.

The prevalence of type 2 diabetes mellitus (T2DM) in Korea has risen in recent years, yet many cases...

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