Endocrinology

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

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Artificial Intelligence in Thyroid Fine Needle Aspiration Biopsies.

BACKGROUND: From cell phones to aerospace, artificial intelligence (AI) has wide-reaching influence ...

(2)
Dec 2020 33326953
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices.

BACKGROUND: The aim of a recent research project was the investigation of the mechanisms involved in...

(1)
Dec 2020 33308172
Detection of Snore from OSAHS Patients Based on Deep Learning.

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is extremely harmful to the human body and may cau...

Dec 2020 33456742
Value of Doppler ultrasound in early detection of diabetic kidney disease: A systematic review and meta-analysis.

The diagnosis of diabetic kidney disease can be delayed by limitations of primary biomarkers, which ...

(1)
Dec 2020 34567226
Image-Based Machine Learning Algorithms for Disease Characterization in the Human Type 1 Diabetes Pancreas.

Emerging data suggest that type 1 diabetes affects not only the β-cell-containing islets of Langerha...

(2)
Dec 2020 33307036
Data-Driven Robust Control for a Closed-Loop Artificial Pancreas.

We present a fully closed-loop design for an artificial pancreas (AP) that regulates the delivery of...

Dec 2020 31027048
Trace element, immune and opioid biomarkers of unstable angina, increased atherogenicity and insulin resistance: Results of machine learning.

BACKGROUND: Aberrations in endothelial cells, immune and oxidative pathways are associated with athe...

Dec 2020 33338984
Feeding pattern, biochemical, anthropometric and histological effects of prolonged access to sucrose, honey and glucose-fructose solutions in Wistar rats.

BACKGROUND/OBJECTIVES: The exposure to sucrose in rats has mimic abnormalities attributed to metabol...

Dec 2020 33841723
Interaction between hypotension and age on adrenal crisis diagnosis.

OBJECTIVE: To determine whether adrenal crisis (AC) identification may be affected by the definition...

Dec 2020 33855208
Retinal Capillary Nonperfusion on OCT-Angiography and Its Relationship to Kidney Function in Patients with Diabetes.

BACKGROUND: Diabetic retinopathy and kidney disease share underlying mechanisms of microvascular dam...

Nov 2020 33763237
Conditional Generative Adversarial Networks Aided Motion Correction of Dynamic F-FDG PET Brain Studies.

This work set out to develop a motion-correction approach aided by conditional generative adversaria...

(5)
Nov 2020 33246982
Artificial intelligence to predict the BRAFV600E mutation in patients with thyroid cancer.

PURPOSE: To investigate whether a computer-aided diagnosis (CAD) program developed using the deep le...

Nov 2020 33237975
Comparing Machine Learning Models for Aromatase (P450 19A1).

Aromatase, or cytochrome P450 19A1, catalyzes the aromatization of androgens to estrogens within the...

Nov 2020 33207874
Type IV Collagen 7S Is the Most Accurate Test For Identifying Advanced Fibrosis in NAFLD With Type 2 Diabetes.

This study aimed to examine whether the diagnostic accuracy of four noninvasive tests (NITs) for det...

Nov 2020 33860115
Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains.

For newly diagnosed breast cancer, estrogen receptor status (ERS) is a key molecular marker used for...

Nov 2020 33199723
Thyroid nodules risk stratification through deep learning based on ultrasound images.

PURPOSE: Clinically, the risk stratification of thyroid nodules is usually used to formulate the nex...

Nov 2020 33089513
Diagnosis of thyroid neoplasm using support vector machine algorithms based on platelet RNA-seq.

OBJECTIVE: To assess the capacity of support vector machine (SVM) algorithms that are developed base...

(2)
Nov 2020 33179221
A generic deep learning framework to classify thyroid and breast lesions in ultrasound images.

Breast and thyroid cancers are the two common cancers to affect women worldwide. Ultrasonography (US...

Nov 2020 33232887
Prediction of metabolic syndrome based on sleep and work-related risk factors using an artificial neural network.

BACKGROUND: Metabolic syndrome (MetS) is a major public health concern due to its high prevalence an...

Nov 2020 33183282
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