Endocrinology

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

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Developing a Prototype Knowledge-Based System for Diagnosis and Treatment of Diabetes Using Data Mining Techniques.

BACKGROUND: Diabetes is a disease that affects the body's ability to produce or use insulin. A total...

Deep Learning Techniques for Diabetic Retinopathy Detection.

Diabetes occurs due to the excess of glucose in the blood that may affect many organs of the body. E...

Retinopathy Analysis Based on Deep Convolution Neural Network.

At medical checkups or mass screenings, the fundus examination is effective for early detection of s...

Detection of Thyroid Nodules with Ultrasound Images Based on Deep Learning.

BACKGROUND: Thyroid nodules are a common clinical entity with high incidence. Ultrasound is often em...

Machine Learning by Ultrasonography for Genetic Risk Stratification of Thyroid Nodules.

IMPORTANCE: Thyroid nodules are common incidental findings. Ultrasonography and molecular testing ca...

Application of Machine Learning Methods in Predicting Nuclear Receptors and their Families.

Nuclear receptors (NRs) are a superfamily of ligand-dependent transcription factors that are closely...

Deep Transfer Learning Models for Medical Diabetic Retinopathy Detection.

INTRODUCTION: Diabetic retinopathy (DR) is the most common diabetic eye disease worldwide and a lead...

[Stage Ⅳ Breast Cancer with Difficulty in Initiating Chemotherapy-A Case Report].

We report a case of breast cancer(T4b[skin], N1, M1[lung], ER-, PR-, HER2 3+)in a 63-year-old woman ...

Maternal serum pentraxin 3 level in early pregnancy for prediction of gestational diabetes mellitus.

BACKGROUND: Our study aimed to reveal the relationship of maternal pentraxin 3 (PTX3)'s serum concen...

Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH...

Blood Testosterone Concentration and Testosterone-induced Aggressive Behavior in Male Layer Chicks: Comparison between Isolated- and Grouped-Raising.

Testosterone (T) is known to induce aggressive behavior, mainly in male animals. Subcutaneous implan...

A new and efficient numerical method for the fractional modeling and optimal control of diabetes and tuberculosis co-existence.

The main objective of this research is to investigate a new fractional mathematical model involving ...

Identifying Diabetes in Clinical Notes in Hebrew: A Novel Text Classification Approach Based on Word Embedding.

NimbleMiner is a word embedding-based, language-agnostic natural language processing system for clin...

Update on thyroid ultrasound: a narrative review from diagnostic criteria to artificial intelligence techniques.

OBJECTIVE: Ultrasound imaging is well known to play an important role in the detection of thyroid di...

Skeletal bone age assessments for young children based on regression convolutional neural networks.

Pediatricians and pediatric endocrinologists utilize Bone Age Assessment (BAA) for in-vestigations p...

Higher Order Statistical Analysis for Thyroid Texture Classification and Segmentation in 2D ultrasound Images.

Ultrasound (US) imaging is one of the most cost-effective imaging modality that utilizes sound waves...

Patch Based Texture Classification of Thyroid Ultrasound Images using Convolutional Neural Network.

Ultrasound (US) is an affordable and important imaging modality in medical imaging without potential...

Homogeneous and heterogeneous ensemble classification methods in diabetes disease: a review.

This paper explores the use of ensemble classification methods in the context of the diabetes diseas...

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