Endocrinology

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

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Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.

With many thyroid nodules being incidentally detected, it is important to identify as many malignant...

Fully Automated Deep Learning System for Bone Age Assessment.

Skeletal maturity progresses through discrete phases, a fact that is used routinely in pediatrics wh...

THE ESTROGENS / CHROMIUM INTERACTION IN THE NITRIC OXIDE GENERATION.

The interaction of estrogens with environmental toxins in free radicals generation: reactive oxygen ...

Endoscopic endonasal transsphenoidal surgery using the iArmS operation support robot: initial experience in 43 patients.

Objective The intelligent arm-support system, iArmS, which follows the surgeon's arm and automatical...

Robotic pancreas transplantation in a type 1 diabetic patient with morbid obesity: A case report.

RATIONALE: Obesity is considered a relative contraindication to pancreas transplantation due to incr...

Comparison of Intravitreal Bevacizumab and Intravitreal Diclofenac in the Treatment of Diabetic Macular Edema: a 6-month Follow-up.

The aim of this study was to compare the effect of intravitreal diclofenac, a non-steroidal anti-inf...

Effect of hypoparathyroid on bone mineral density of lumber spine in postmenopausal women with differentiated thyroid cancinoma.

OBJECTIVE: To investigate the effect of hypoparathyroid on bone mineral density in postmenopausal wo...

Hypercalcemia and acute renal insufficiency following use of a veterinary supplement.

A previously healthy 24 yo male presented with a two-month history of epigastric pain, nausea, vomit...

Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks.

In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considera...

Development of a Deep Learning Algorithm for Automatic Diagnosis of Diabetic Retinopathy.

This paper mainly focuses on the deep learning application in classifying the stage of diabetic reti...

An Infrared Thermal Images Database and a New Technique for Thyroid Nodules Analysis.

Thyroid nodules diseases are a common health problem and thyroidal cancer is becoming increasingly p...

Prevalence and risk factors of chronic kidney disease in an african semi-urban area: Results from a cross-sectional survey in Gueoul, Senegal.

Chronic kidney disease (CKD) is a public health priority worldwide; however, its prevalence and inci...

Pattern and predictors of urine protein excretion among patients with type 2 diabetes attending a single tertiary hospital in Lagos, Nigeria.

Testing for proteinuria is used to screen for diabetic nephropathy. However, significant proportion ...

Lactate levels and risk of lactic acidosis with metformin in diabetic kidney disease patients.

Metformin as an oral antidiabetic drug (OAD) is not recommended in renal failure due to the presumed...

Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study.

CONTEXT AND OBJECTIVE:: Type 2 diabetes is a chronic disease associated with a wide range of serious...

Machine Learning and Molecular Dynamics Based Insights into Mode of Actions of Insulin Degrading Enzyme Modulators.

BACKGROUND: Alzheimer's disease (AD) is one of the most common lethal neurodegenerative disorders ha...

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

IMPORTANCE: Deep learning is a family of computational methods that allow an algorithm to program it...

Renal Function in Type 2 Diabetes Following Gastric Bypass.

BACKGROUND: Metabolic surgery for obese patients with type 2 diabetes (T2D) yields short- and long-t...

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