Thyroid

ThyroFusion: A Multi-modal Deep Learning Framework Integrating Vision and Language for Thyroid Nodule Malignancy Risk Assessment.

Accurate differentiation between benign and malignant thyroid nodules remains challenging in clinica...

An Interpretable Machine-Learning Model for Predicting Occult Central Lymph Node Metastasis in Papillary Thyroid Cancer.

CONTEXT: Accurate preoperative prediction of occult lymph node metastasis (OLNM) in clinically lymph...

Graves' disease: a new era of pathophysiology-guided therapeutics.

Graves' disease (GD) is an autoimmune entity that had an unchanged treatment paradigm for more than ...

A Comparative Assessment of Large Language Models in Congenital Hypothyroidism: Reliability, Quality and Readability.

OBJECTIVE: To comparatively evaluate the reliability, quality, and readability of responses generate...

A hybrid CNN-XLSTM-GRU deep learning model with autoencoder-based feature selection for hypothyroidism diagnosis.

Hypothyroidism, caused by reduced thyroid-hormone production, is often difficult to diagnose because...

Predictive models for the occurrence and lymph node metastasis of papillary thyroid carcinoma with regional risk heterogeneity.

Papillary thyroid carcinoma (PTC) is the most common thyroid malignancy, and cervical lymph node met...

A vision-language foundation model improves preoperative diagnosis of follicular thyroid neoplasms using ultrasound images.

Preoperative discrimination between follicular thyroid carcinoma (FTC) and follicular thyroid adenom...

Region-guided decoupled fusion network for ultrasound-based classification of thyroid nodules with and without Hashimoto's thyroiditis.

RATIONALE AND OBJECTIVES: Differentiating benign from malignant thyroid nodules is particularly chal...

Deep Learning-Based Multimodal Fusion of Ultrasound, Cytology, and Clinical Features to Distinguish Follicular Thyroid Carcinoma from Adenoma: A Multicenter Study.

RATIONALE AND OBJECTIVES: Preoperative differentiation between follicular thyroid carcinoma (FTC) an...

Exploring Metabolic Changes in Children with Congenital Hypothyroidism: A Serum Metabolomic Study Combined by Machine Learning.

Congenital hypothyroidism (CH) is a genetic endocrine disorder that can cause developmental delays i...

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...

Label-free screening and grading of follicular thyroid neoplasms enabled by Fourier transform infrared microspectroscopy and machine learning.

Follicular thyroid neoplasms represent a common subtype of thyroid tumor that has become the most pr...

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...

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.