Thyroid

Risk stratification for reoperation outcomes in recurrent or persistent papillary thyroid carcinoma: development and validation of a machine learning model.

BACKGROUNDS: Reoperation is a key therapeutic strategy for recurrent or persistent papillary thyroid...

External Validation of a Deep Learning-Based Artificial Intelligence System for Ultrasound Diagnosis of Thyroid Nodules: A Two-Center Retrospective Study.

OBJECTIVES: To investigate the performance of an artificial intelligence (AI) diagnostic system for ...

A clinically anchored radiomics dictionary for explainable TI-RADS-based thyroid nodule classification in ultrasound; dictionary version TU1.0.

OBJECTIVE: Artificial Intelligence-based radiomics models for thyroid ultrasound (US) often lack int...

Gray-zone decisions in subclinical hypothyroidism: a qualitative analysis of ChatGPT responses.

BACKGROUND: The management of subclinical hypothyroidism can at times present a gray area for clinic...

Exploring clinical determinants and machine learning-based prediction of disease characteristics in Graves ophthalmopathy.

CLINICAL RELEVANCE: Improved risk stratification in Graves ophthalmopathy (GO) may support earlier r...

Development of a machine learning-based prediction model for hypothyroidism-associated delirium in elderly hypothyroid patients in the intensive care unit.

BACKGROUND: Patients with hypothyroidism admitted to the intensive care unit (ICU) frequently develo...

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

Radiomics in thyroid nodule assessment.

This narrative review was conducted by searching PubMed and Google Scholar using keywords such as 'r...

Multiparametric MRI-Based Habitat Radiomics Combined with Deep Transfer Learning for Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma.

The objective of the study is to develop and validate a multiparametric MRI (mpMRI)-based model that...

Multimodal Ultrasound Integration Pathways and Paradigm Innovations in Precision Diagnosis and Treatment of Thyroid Cancer.

RATIONALE AND OBJECTIVES: Thyroid cancer, the fastest-growing endocrine malignancy, is shifting from...

[A nomogram combining ultrasound radiomics and clinical features for predicting pathological invasiveness of papillary thyroid carcinoma].

OBJECTIVES: To develop a nomogram model combining ultrasound radiomics and clinical features and to ...

The role of infrared thermography in thyroid nodule detection and classification: a scoping review.

PURPOSE: To conduct a scoping review to assess the extent and type of evidence on the use of IRT as ...

Differentiating Mummified Thyroid Nodules From Papillary Thyroid Carcinoma: A Machine Learning Approach Using Multi-Modal Ultrasound Radiomics.

OBJECTIVES: This study aimed to establish a machine-learning model that integrates contrast-enhanced...

Spatially resolved single cell analysis suggests an APOE NCF1 associated immunosuppressive niche and its prognostic signature in thyroid cancer.

BACKGROUND: Thyroid carcinoma (TC) presents a rising global incidence, with a subset of cases progre...

Development and evaluation of AI model with deep learning for segmentation of extraocular muscles in thyroid eye disease.

PURPOSE: To develop and evaluate an AI model for the segmentation of extraocular muscles (EOMs) usin...

Microplastics and the Endocrine-Metabolic Interface: Novel Diagnostic Tools Targeting Thyroid-Adipose Axis.

Microplastics (MPs) have been identified as major environmental contaminants that can affect organis...

Computational fluid dynamics and machine learning modeling of drug delivery by hydroxypropyl methylcellulose.

This study integrates computational fluid dynamics (CFD) simulations with machine learning (ML) mode...

Evaluation of 2D and 3D nnU-Net models with two-label and three-label strategies for automatic segmentation and total metabolic tumor volume estimation of metastatic differentiated thyroid carcinoma on FDG-PET/CT.

PURPOSE: To evaluate the segmentation performance and total metabolic tumor volume (TMTV) prediction...

Explainable AI in Cancer Imaging: Scoping Review of Methods, Modalities, and Clinical Integration.

BACKGROUND: Explainable artificial intelligence (xAI) is increasingly used in medical imaging to enh...

Thyroid disease detection using enhanced extreme learning machine based on drop-connect method.

The long-term physiologic effects of thyroid problems make them one of the most important endocrine ...

Preliminary machine-learning model with clinical, US, and CEUS features for the diagnosis of thyroid follicular-patterned lesions.

BACKGROUND: Though follicular thyroid carcinoma can be confirmed postoperatively by the histological...