Endocrinology

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

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Predicting the risk of developing diabetic retinopathy using deep learning.

BACKGROUND: Diabetic retinopathy screening is instrumental to preventing blindness, but scaling up s...

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...

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

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

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...

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...

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...

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...

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...

Developing an Individual Glucose Prediction Model Using Recurrent Neural Network.

In this study, we propose a personalized glucose prediction model using deep learning for hospitaliz...

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...

Robot-assisted adrenalectomy: state of the art.

Currently, laparoscopic adrenalectomy is worldwide considered the gold standard technique. Both tran...

The Growth Kinetics of Collision Nodal Metastasis from Medullary and Papillary Thyroid Carcinomas: A Case Report.

INTRODUCTION: The collision of medullary (MTC) and papillary thyroid carcinoma (PTC) in the same cer...

Clinical application of an automatic facial recognition system based on deep learning for diagnosis of Turner syndrome.

PURPOSE: Automated facial recognition technology based on deep learning has achieved high accuracy i...

Metamorphosis in Insect Muscle: Insights for Engineering Muscle-Based Actuators.

One of the major limitations to advancing the development of soft robots is the absence of lightweig...

Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions.

PURPOSE: Thyroid-associated ophthalmopathy (TAO) might lead to blindness and orbital deformity. The ...

Thin-Slice Pituitary MRI with Deep Learning-based Reconstruction: Diagnostic Performance in a Postoperative Setting.

Background Achieving high-spatial-resolution pituitary MRI is challenging because of the trade-off b...

Assessment of Facial Morphologic Features in Patients With Congenital Adrenal Hyperplasia Using Deep Learning.

IMPORTANCE: Congenital adrenal hyperplasia (CAH) is the most common primary adrenal insufficiency in...

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