Endocrinology

deepPGSegNet: MRI-based pituitary gland segmentation using deep learning.

INTRODUCTION: In clinical research on pituitary disorders, pituitary gland (PG) segmentation plays a...

A commentary on 'Performance of CT-based deep learning in diagnostic assessment of suspicious lateral lymph nodes in papillary thyroid cancer: a prospective diagnostic study'.

EVALUATION OF THE ASSOCIATION OF PLASMA PENTRAXIN-3 LEVELS WITH CAROTID INTIMA-MEDIA THICKNESS AND HIGH-SENSITIVE CRP IN PATIENTS WITH SUBCLINICAL HYPOTHYROIDISM.

CONTEXT: Inflammation-related markers may predict cardiovascular diseases.

COMPARISON OF C-PEPTIDE LEVELS IN MONOGENIC FORMS OF DIABETES WITH OTHER TYPES OF DIABETES: A SINGLE-CENTER STUDY.

OBJECTIVE: This study aimed to evaluate the utility of C-peptide levels in the differentiation of mo...

Optimizing robotic thyroid surgery: lessons learned from an retrospective analysis of 104 cases.

BACKGROUND: Robotic assistance in thyroidectomy is a developing field that promises enhanced surgica...

Protocol for metadata and image collection at diabetic foot ulcer clinics: enabling research in wound analytics and deep learning.

BACKGROUND: The escalating impact of diabetes and its complications, including diabetic foot ulcers ...

Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians.

BACKGROUND/AIMS: Deep learning systems (DLSs) for diabetic retinopathy (DR) detection show promising...

Deep learning diagnostic performance and visual insights in differentiating benign and malignant thyroid nodules on ultrasound images.

This study aims to construct and evaluate a deep learning model, utilizing ultrasound images, to acc...

The association of serum irisin with anthropometric, metabolic, and bone parameters in obese children and adolescents.

BACKGROUND: Irisin is an adipomyokine secreted by muscle and adipose cells, and it plays a role in g...

inhibition of biofilm and virulence factor production in azole-resistant strains of isolated from diabetic foot by stabilized tin (IV) oxide nanoparticles.

The advent of nanotechnology has been instrumental in the development of new drugs with novel target...

Optimization of chemical conditions for metabolites production by using response surface methodology and investigation of antimicrobial as well as anticancer activities.

() is a medicinal mushroom that is known for its ability to produce compounds with physiological ef...

Correlation between systemic inflammatory response index and thyroid function: 2009-2012 NHANES results.

AIMS: This study investigates the relationship between the Systemic Inflammatory Response Index (SIR...

Development and application of Chinese medical ontology for diabetes mellitus.

OBJECTIVE: To develop a Chinese Diabetes Mellitus Ontology (CDMO) and explore methods for constructi...

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review.

BACKGROUND: Diabetes mellitus (DM) is a major health concern among children with the widespread adop...

Efficacy and safety of insulin glargine 300 units/mL vs insulin degludec in patients with type 1 and type 2 diabetes: a systematic review and meta-analysis.

BACKGROUND: Ultra-long-acting insulin analogs [insulin degludec (IDeg) and insulin glargine 300 unit...

Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images.

PURPOSE: A large number of research has been conducted on the classification of medical images using...

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images.

Diabetes mellitus (DM) is a prevalent chronic metabolic disorder linked to increased morbidity and m...

Evolutionary gravitational neocognitron neural network optimized with marine predators optimization algorithm for MRI brain tumor classification.

Magnetic resonance imaging (MRI) is a powerful tool for tumor diagnosis in human brain. Here, the MR...

An integrated model incorporating deep learning, hand-crafted radiomics and clinical and US features to diagnose central lymph node metastasis in patients with papillary thyroid cancer.

OBJECTIVE: To evaluate the value of an integrated model incorporating deep learning (DL), hand-craft...

Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities.

OBJECTIVE: Artificial intelligence and machine learning are transforming many fields including medic...

Effectiveness of continuity of care after robot-assisted laparoscopic adrenalectomy under ambulatory mode: a single-center intervention study.

To investigate the effectiveness of continuity of care after robot-assisted adrenal tumor resection ...