Endocrinology

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

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Showing 1828-1848 of 5,036 articles
Foveal avascular zone segmentation in optical coherence tomography angiography images using a deep learning approach.

The purpose of this study was to introduce a new deep learning (DL) model for segmentation of the fo...

Robotic approach for partial adrenalectomy.

Although safe and feasible, partial adrenalectomy is not a widespread procedure. Endorsement of robo...

Raman spectroscopy of follicular fluid and plasma with machine-learning algorithms for polycystic ovary syndrome screening.

Polycystic ovary syndrome (PCOS) is the main cause of anovulatory infertility and affects women thro...

Development and Validation of a Machine Learning Model to Predict Near-Term Risk of Iatrogenic Hypoglycemia in Hospitalized Patients.

IMPORTANCE: Accurate clinical decision support tools are needed to identify patients at risk for iat...

FFU-Net: Feature Fusion U-Net for Lesion Segmentation of Diabetic Retinopathy.

Diabetic retinopathy is one of the main causes of blindness in human eyes, and lesion segmentation i...

Observational Cross-Sectional Study of Inflammatory Markers After Transient Ischemic Attacks, Acute Coronary Syndromes, and Vascular Stroke Events.

We identified the prevalence of elevated high-sensitivity C-reactive protein and interleukin-6 in pa...

Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes.

BACKGROUND: Diabetes mellitus is a prevalent metabolic disease characterized by chronic hyperglycemi...

Low Diagnostic Utility of Overnight High-Dose Dexamethasone Suppression Test in ACTH-Dependent Cushing's Syndrome.

OBJECTIVE: Overnight high-dose dexamethasone suppression test (ON-HDDST) is a simple test to localiz...

Systematic Comparison of Heatmapping Techniques in Deep Learning in the Context of Diabetic Retinopathy Lesion Detection.

PURPOSE: Heatmapping techniques can support explainability of deep learning (DL) predictions in medi...

Development and Validation of a Novel LC-MS/MS Assay for C-Peptide in Human Serum.

INTRODUCTION: C-peptide is used as a marker of endogenous insulin secretion in the assessment of res...

Cushing's Disease as a Result of Two ACTH-Secreting Pituitary Tumors.

OBJECTIVE: Our objective is to present a case of Cushing's disease (CD) with 2 adrenocorticotropic h...

Nelson Syndrome: A Case Report and Literature Review.

OBJECTIVE: Nelson syndrome (NS) is a rare clinical disorder that can occur after total bilateral adr...

Increased Thyroid-Hormone Requirements Consistent With Type 3 Deiodinase Induction Related to Ibrutinib in a Thyroidectomized Woman.

OBJECTIVE: Tyrosine-kinase inhibitors (TKIs) are chemotherapeutic agents associated with increased t...

Nonseminomatous Germ-Cell Tumor Presenting as Bilateral Adrenal Masses.

OBJECTIVE: Many tumors can metastasize to the adrenal glands, making the diagnosis of adrenal masses...

Clinical Case Report: Dissociation of Clinical Course of Coexisting Autoimmune Hepatitis and Graves Disease.

OBJECTIVE: Concurrent autoimmune disorders, including autoimmune hepatitis (AIH), with Graves diseas...

Histoplasmosis: An Unusual Cause of Adrenal Insufficiency.

OBJECTIVE: Adrenal insufficiency (AI), if not diagnosed in a timely manner, can lead to fatal outcom...

Systems Approach to Pathogenic Mechanism of Type 2 Diabetes and Drug Discovery Design Based on Deep Learning and Drug Design Specifications.

In this study, we proposed a systems biology approach to investigate the pathogenic mechanism for id...

Unusual Endocrinopathies in 18q Deletion Syndrome: Pseudoparathyroidism and Hyper-/Hypo-Thyroidism.

OBJECTIVE: To describe new and unusual endocrinopathies in children with de novo 18q deletion (18q-)...

Segmentation and classification of thyroid follicular neoplasm using cascaded convolutional neural network.

In this paper, we present a segmentation and classification method for thyroid follicular neoplasms ...

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