Thyroid

Metabolomic profiling of exhaled breath condensate identifies a novel biomarker panel for detecting thyroid and breast cancer.

BACKGROUND: The non-invasive detection of cancer via exhaled breath condensate (EBC) represents a pr...

Evaluating the diagnostic performance of multimodal large language models in thyroid cytology.

Thyroid fine-needle aspiration (FNA) cytology is a widely used, cost-effective method for evaluating...

Remission, Relapse, and Thyroid-Related Parameters Measurement at Discontinuation of Low-Dose Anti-Thyroid Drugs in Graves' Disease.

BACKGROUND: This study aimed to elucidate the relationship between thyroid-related parameters and th...

Transcriptomic sequencing analysis of the tumor microenvironment atlas and potential mechanisms of metastasis in papillary thyroid carcinoma.

Papillary thyroid carcinoma (PTC) is the most prevalent thyroid malignancy and its incidence continu...

Prediction of transient hypocalcemia following total thyroidectomy using machine learning methods.

Combining single cell and bulk transcriptomics with Mendelian randomization identifies gut microbiota related prognostic genes and mechanisms in thyroid cancer.

BACKGROUND: Imbalance in gut microbiota (GM) may play a role in the development of thyroid cancer (T...

Comparative analysis of large language models and clinicians in thyroid eye disease using structured questionnaires.

To preliminarily evaluate agreement between large language models (LLMs) and ophthalmic clinicians r...

Mapping the Research Landscape and Emerging Trends in Hashimoto's Encephalopathy: A CiteSpace-Based Visualization Analysis.

INTRODUCTION: Hashimoto's thyroiditis is the leading cause of hypothyroidism in iodine-sufficient re...

Artificial intelligence for predicting transient hypocalcemia after total thyroidectomy.

Transient hypocalcemia is a common complication of total thyroidectomy. This study aimed to evaluate...

Integrated multi-omics and single-cell analyses identify metabolic heterogeneity and therapeutic vulnerabilities in medullary thyroid cancer.

BACKGROUND: Medullary thyroid cancer (MTC) is a heterogeneous and aggressive malignancy with limited...

Multiple machine learning models for the prediction of an early response to radioactive iodine therapy in hyperthyroidism: ablative dose concept.

BACKGROUND: The aim of this novel study was to explore the possibility of the development of a machi...

MRI-based automated segmentation and multiparametric quantification for assessing orbital soft tissue involvement in thyroid eye disease.

OBJECTIVES: To develop a deep learning-based multimodal framework for automated segmentation of orbi...

Improving predicted risk of recurrence using molecular profiling in papillary thyroid cancer.

Molecular testing can refine the prediction of cancer recurrence. We sought to compare patterns of g...

A lightweight GhostYOLO framework with GhostDynamic Module and multi-scale attention for thyroid nodule diagnosis.

Ultrasound is the primary tool for thyroid nodule assessment, but diagnostic accuracy and efficiency...

Precision Medicine in Autoimmune Thyroid Diseases: Decoding Biomarkers, Targeted Therapies and Digital Innovation.

INTRODUCTION: Autoimmune thyroid diseases (AITDs), including Graves' disease and Hashimoto's thyroid...

Development of a risk prediction model for second primary thyroid cancer in female breast cancer patients based on machine learning algorithms.

Female breast cancer patients remain at risk of developing additional primary cancers even following...

Trajectory excited-state dynamics study of pyrazine: Assessment of potential energy surfaces and simulation of picosecond timescales.

The femtosecond and picosecond excited-state dynamics of pyrazine are studied using full-dimensional...

Artificial Intelligence-Enabled Analysis of Radiology Reports: Epidemiology and Outcomes of Incidental Thyroid Findings.

CONTEXT: Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-t...

Leveraging routine clinical data for dementia risk prediction using machine learning.

BackgroundEarly diagnosis of dementia is essential for enabling timely interventions that may slow d...

A network toxicology and in vitro study on the role of micro- and nanoplastics in exacerbating the progression risk from Hashimoto's thyroiditis to papillary thyroid carcinoma.

The role of micro-nanoplastics (MNPs) in the elevated risk of papillary thyroid carcinoma (PTC) obse...

Marker-Free, Automated Eyelid Assessment in Thyroid Eye Disease Using Artificial Intelligence: A Multicenter Validation Study.

OBJECTIVE: To validate "Glandy LID," a novel marker-free, deep learning-based software designed for ...