Thyroid

Deep learning diagnostic performance and visual insights in differentiating benign and malignant thyroid nodules on ultrasound images.

This study aims to construct and evaluate a deep learning model, utilizing ultrasound images, to acc...

Comparison of postoperative pain between transoral and conventional thyroidectomy: a propensity score-matched analysis.

BACKGROUND: The extent of postoperative pain following transoral thyroidectomy is not well-understoo...

Correlation between systemic inflammatory response index and thyroid function: 2009-2012 NHANES results.

AIMS: This study investigates the relationship between the Systemic Inflammatory Response Index (SIR...

Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images.

PURPOSE: A large number of research has been conducted on the classification of medical images using...

An integrated model incorporating deep learning, hand-crafted radiomics and clinical and US features to diagnose central lymph node metastasis in patients with papillary thyroid cancer.

OBJECTIVE: To evaluate the value of an integrated model incorporating deep learning (DL), hand-craft...

Safety and surgical outcomes of single-port trans-axillary robot-assisted thyroidectomy: Experience from a consecutive series of 300 patients.

Since the introduction of the single-port (SP) robotic system, SP trans-axillary robot-assisted thyr...

Mini-invasive video-assisted thyroidectomy vs robot-assisted transaxillary thryoidectomy: analisys and comparison of safety and outcomes.

Thyroid surgery is characterized by large volumes and typically affects a young female population. M...

An audit of medullary thyroid carcinoma from a tertiary care hospital in northwest India.

INTRODUCTION: Medullary thyroid carcinoma (MTC) is a rare thyroid malignancy originating from parafo...

An Evaluation of the Efficacy of Machine Learning in Predicting Thyrotoxicosis and Hypothyroidism: A Comparative Assessment of Biochemical Test Parameters Used in Different Health Checkups.

Objective This study assessed the efficacy of machine learning in predicting thyrotoxicosis and hypo...

Machine learning based on SEER database to predict distant metastasis of thyroid cancer.

OBJECTIVE: Distant metastasis of thyroid cancer often indicates poor prognosis, and it is important ...

Thyrotoxic Cardiomyopathy Unveiled: Insights From a Compelling Case Report.

Thyrotoxicosis is a clinical condition characterized by inappropriately elevated thyroid hormone lev...

A nomogram based on ultrasound radiomics for predicting the invasiveness of cN0 single papillary thyroid microcarcinoma.

BACKGROUND: Up to 15.3% of papillary thyroid microcarcinoma (PTMC) patients with negative clinical l...

Diagnostics of Thyroid Cancer Using Machine Learning and Metabolomics.

The objective of this research is, with the analysis of existing data of thyroid cancer (TC) metabol...

Exploring the advances of single-cell RNA sequencing in thyroid cancer: a narrative review.

Thyroid cancer, a prevalent form of endocrine malignancy, has witnessed a substantial increase in oc...

Application of artificial intelligence in the assessment of thyroid eye disease (TED) - a scoping review.

BACKGROUND: There is emerging evidence which suggests the utility of artificial intelligence (AI) in...

Development and internal validation of diagnostic prediction models using machine-learning algorithms in dogs with hypothyroidism.

INTRODUCTION: Hypothyroidism can be easily misdiagnosed in dogs, and prediction models can support c...

Retinal Photograph-based Deep Learning System for Detection of Thyroid-Associated Ophthalmopathy.

BACKGROUND: The diagnosis of thyroid-associated ophthalmopathy (TAO) usually requires a comprehensiv...

Exploring the Use of ChatGPT in Delivering Evidence-Based Information to Patients with Thyroid Eye Disease.

Deep learning approaches for differentiating thyroid nodules with calcification: a two-center study.

BACKGROUND: Calcification is a common phenomenon in both benign and malignant thyroid nodules. Howev...

Densely connected convolutional networks for ultrasound image based lesion segmentation.

Delineating lesion boundaries play a central role in diagnosing thyroid and breast cancers, making r...

The relationship of pre-operative vitamin D and TSH levels with papillary thyroid cancer.

OBJECTIVE: Our goal in this study is to analyze the correlation between papillary thyroid cancer (PT...