Endocrinology

Thyroid

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

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Deep learning based analysis of dynamic video ultrasonography for predicting cervical lymph node metastasis in papillary thyroid carcinoma.

BACKGROUND: Cervical lymph node metastasis (CLNM) is the most common form of thyroid cancer metastas...

Model Based on Ultrasound Radiomics and Machine Learning to Preoperative Differentiation of Follicular Thyroid Neoplasm.

OBJECTIVES: To evaluate the value of radiomics based on ultrasonography in differentiating follicula...

The study on ultrasound image classification using a dual-branch model based on Resnet50 guided by U-net segmentation results.

In recent years, the incidence of nodular thyroid diseases has been increasing annually. Ultrasonogr...

Artificial intelligence-enhanced infrared thermography as a diagnostic tool for thyroid malignancy detection.

INTRODUCTION: Thyroid nodules are common, and investigation is crucial for excluding malignancy. Inc...

Neural network-based automated proptosis measurement using computed tomography images for patients with thyroid-associated orbitopathy.

The purpose of this study was to evaluate the clinical feasibility and reliability of a neural netwo...

Optimizing thyroid AUS nodules malignancy prediction: a comprehensive study of logistic regression and machine learning models.

BACKGROUND: The accurate diagnosis of thyroid nodules with indeterminate cytology, particularly in t...

Classifying driver mutations of papillary thyroid carcinoma on whole slide image: an automated workflow applying deep convolutional neural network.

BACKGROUND: Informative biomarkers play a vital role in guiding clinical decisions regarding managem...

A novel meta learning based stacked approach for diagnosis of thyroid syndrome.

Thyroid syndrome, a complex endocrine disorder, involves the dysregulation of the thyroid gland, imp...

Avoidable biopsies? Validating artificial intelligence-based decision support software in indeterminate thyroid nodules.

BACKGROUND: Multiple artificial intelligence (AI) systems have been approved to risk-stratify thyroi...

A Study of Serum Ferritin and Thyroid-Stimulating Hormone Levels in Male Patients with Androgenetic Alopecia.

BACKGROUND: Androgenetic alopecia (AGA) is a multifactorial disorder expressed by several genes and ...

Artificial intelligence-based pathological application to predict regional lymph node metastasis in Papillary Thyroid Cancer.

In this study, a model for predicting lymph node metastasis in papillary thyroid cancer was trained ...

Explainable machine learning model for predicting paratracheal lymph node metastasis in cN0 papillary thyroid cancer.

Prophylactic dissection of paratracheal lymph nodes in clinically lymph node-negative (cN0) papillar...

Interpretable machine learning model predicting immune checkpoint inhibitor-induced hypothyroidism: A retrospective cohort study.

Hypothyroidism is a known adverse event associated with the use of immune checkpoint inhibitors (ICI...

Predicting overall survival in anaplastic thyroid cancer using machine learning approaches.

PURPOSE: Anaplastic thyroid carcinoma (ATC) is a highly aggressive and lethal thyroid cancer subtype...

The impact of deep learning on diagnostic performance in the differentiation of benign and malignant thyroid nodules.

AIMS: This study aims to use deep learning (DL) to classify thyroid nodules as benign and malignant ...

Pathology diagnosis of intraoperative frozen thyroid lesions assisted by deep learning.

BACKGROUND: Thyroid cancer is a common thyroid malignancy. The majority of thyroid lesion needs intr...

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