Thyroid

Wooden-Tip Electrospray Ionization Mass Spectrometry Combined With Machine Learning for Differentiating Thyroid Tumours.

Direct mass spectrometry (MS) analysis of human tissues at the molecular level has great potential f...

Ultrasound Radiomics for Hashimoto's Thyroiditis: State of the Art and Future Perspectives.

Ultrasound radiomics is gradually emerging as a powerful tool for improving the diagnosis and manage...

Artificial intelligence-based multi-modal multi-tasks analysis of thyroid ultrasound image features predicts thyroid cancer: a multicenter study.

Thyroid nodule ultrasound (US) images and their features are of great importance in thyroid nodule d...

Promise and pitfalls of AI chatbots in complex decision-making for thyroid nodules and papillary thyroid cancer.

INTRODUCTION: Artificial intelligence (AI) chatbots are increasingly used in medicine, but their rel...

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART I.

Thyroid nodules are common incidental findings, but only a small proportion of cases are malignant (...

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART II.

Thyroid nodules are common incidental findings but only a small proportion of cases are malignant (4...

CT-Free Quantitative Thyroid SPECT Based on Artificial Intelligence: A Prospective Multicenter Noninferiority Clinical Trial.

BACKGROUND: Hybrid single-photon emission computed tomography (SPECT)/computed tomography (CT) is us...

A High-Quality Endoscopic Image Dataset with Annotated Recurrent Laryngeal Nerve for AI-Assisted Thyroid Surgery.

The integration of artificial intelligence (AI) into surgical navigation represents a pivotal advanc...

Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining.

The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an essent...

Utilizing the transformer mechanism to predict cervical lymph node metastasis in patients with papillary thyroid carcinoma.

RATIONALE AND OBJECTIVE: The status of cervical lymph node metastasis(LNM) in Papillary thyroid carc...

Interpretable machine learning model for immune-related hyperthyroidism prediction in patients receiving immune checkpoint inhibitors: A retrospective study.

Contrast-Enhanced VM-UNet for Thyroid Nodule Segmentation Based on Wavelet Features and Dual-Branch Edge Learning.

Accurate segmentation of thyroid nodules from ultrasound images is critical for clinical diagnosis a...

Ultrasonographic Evaluation of Pediatric Thyroid Nodules: Adult Risk Stratification Systems, 2021 K-TIRADS Revision, and Future Refinements.

Although pediatric thyroid cancer is rare, it has characteristics distinct from those of adult thyro...

Interpretable LightGBM model with SHAP analysis predicts non-excellent response to initial radioiodine therapy in differentiated thyroid carcinoma.

PURPOSE: To identify independent determinants influencing therapeutic outcomes of initial radioactiv...

Machine learning-driven QSAR models for the prediction of metabolic mechanisms and thyroid hormone-disrupting effects of emerging pollutants in the human body: a case study of bisphenol analogues.

Research on theoretical prediction methods for elucidating the reaction mechanisms and thyroid hormo...

Hormone deficiency and cardiovascular disease: clinical impact, treatment strategies and prognostic prediction.

INTRODUCTION: Hormone deficiency states are increasingly recognized as important, yet often underapp...

Dosimetric comparison of intensity modulated proton therapy and knowledge-based volumetric arc therapy for left-sided breast cancer.

INTRODUCTION: There is increasing interest in the application of proton beam therapy to left-sided b...

Multi-dimensional CT feature screening, construction, and validation of a clinical diagnostic model for thyroid eye disease.

OBJECTIVE: Thyroid eye disease (TED) is an autoimmune condition associated with thyroid dysfunction,...

HOW GENETICS CHANGED OR WILL CHANGE THE THERAPY IN THYROID NODULES WITH INDETERMINATE CYTOLOGY.

The incidence of thyroid cancer has risen in recent decades, largely due to the widespread use of in...

Better together: what can state-of-the-art ML models add to thyroid nodule diagnostics?

Cellulose-based hydrogel SERS sensor for label-free detection and identification of antithyroid drugs.

Antithyroid drugs, while essential for the management of hyperthyroidism, can induce adverse reactio...