Endocrinology

Important Tools for Use by Pediatric Endocrinologists in the Assessment of Short Stature.

Assessment and management of children with growth failure has improved greatly over recent years. Ho...

Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.

Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known risk fac...

Cardiac Troponin Is Elevated in Patients with Thyrotoxicosis and Decreases as Thyroid Function Improves and Brain Natriuretic Peptide Levels Decrease.

INTRODUCTION: High-sensitive cardiac troponin reflects micro-myocardial injury in the absence of ove...

THEIA™ development, and testing of artificial intelligence-based primary triage of diabetic retinopathy screening images in New Zealand.

AIM: To develop and evaluate an artificial intelligence triage system with high sensitivity for dete...

Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms.

Environmental toxicants affect human health in various ways. Of the thousands of chemicals present i...

Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world'...

Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics.

Non-invasive assessment of the risk of lymph node metastasis (LNM) in patients with papillary thyroi...

Endonasal endoscopic transsphenoidal approach robot prototype: A cadaveric trial.

BACKGROUND: The Endonasal Endoscopic Transsphenoidal Surgery (EETS) is a minimally invasive procedur...

A Web Application for Adrenal Incidentaloma Identification, Tracking, and Management Using Machine Learning.

BACKGROUND: Incidental radiographic findings, such as adrenal nodules, are commonly identified in im...

Automatic detection of non-perfusion areas in diabetic macular edema from fundus fluorescein angiography for decision making using deep learning.

Vision loss caused by diabetic macular edema (DME) can be prevented by early detection and laser pho...

An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.

BACKGROUND: Gestational diabetes mellitus (GDM) can cause adverse consequences to both mothers and t...

Thyroid Incidentalomas: Practice Considerations for Radiologists in the Age of Incidental Findings.

Radiologists very frequently encounter incidental findings related to the thyroid gland. Given incre...

A Novel Human Diabetes Biomarker Recognition Approach Using Fuzzy Rough Multigranulation Nearest Neighbour Classifier Model.

The selection of gene identifier from microarray databases is a challenging task since microarray co...

A Comparative Analysis of Two Machine Learning-Based Diagnostic Patterns with Thyroid Imaging Reporting and Data System for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate.

The risk stratification system of the American College of Radiology Thyroid Imaging Reporting and D...

Unsupervised Clustering of Missense Variants in HNF1A Using Multidimensional Functional Data Aids Clinical Interpretation.

Exome sequencing in diabetes presents a diagnostic challenge because depending on frequency, functio...

Effects of canagliflozin on serum potassium in the CANagliflozin cardioVascular Assessment Study (CANVAS) Program.

BACKGROUND: The sodium-glucose cotransporter 2 inhibitor canagliflozin has been shown to reduce the ...

Pure transoral robotic thyroidectomy; institutional adaptation and early results from a tertiary endocrine surgery centre.

PURPOSE: Novel thyroidectomy techniques have been described to minimize the visible scar. Hereby, we...

AI-based prediction for the risk of coronary heart disease among patients with type 2 diabetes mellitus.

Type 2 diabetes mellitus (T2DM) is one common chronic disease caused by insulin secretion disorder t...

Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST - IT Ramadan study).

OBJECTIVE: To develop a machine-based algorithm from clinical and demographic data, physical activit...

Latest Advancements in Artificial Intelligence-Enabled Technologies in Treating Type 1 Diabetes.

Case of slowly progressive type 1 diabetes mellitus with drastically reduced insulin secretory capacity after immune checkpoint inhibitor treatment for advanced renal cell carcinoma.

We encountered a 55-year-old Japanese man with advanced renal cell carcinoma and slowly progressive ...