Endocrinology

Thyroid

Latest AI and machine learning research in thyroid for healthcare professionals.

4,898 articles
Stay Ahead - Weekly Thyroid research updates
Subscribe
Browse Specialties
Showing 64-84 of 4,898 articles
Impact of thyroglobulin changes on clinical outcomes of differentiated thyroid cancer with biochemical incomplete response.

PURPOSE: Partial patients with biochemical incomplete response (BIR) after initial therapy for diffe...

Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification.

In this study, we propose a novel approach to enhancing transfer learning by optimizing data selecti...

The impact of a simple positioning aid device on the diagnostic performance of thyroid cancer in CT scans: a randomized controlled trial.

OBJECTIVE: To evaluate the effectiveness of a simple positioning aid device in neck CT scans for the...

Machine learning model for differentiating malignant from benign thyroid nodules based on the thyroid function data.

OBJECTIVES: To develop and validate a machine learning (ML) model to differentiate malignant from be...

Beyond genomics: artificial intelligence-powered diagnostics for indeterminate thyroid nodules-a systematic review and meta-analysis.

INTRODUCTION: In recent years, artificial intelligence (AI) tools have become widely studied for thy...

Multimodal GPT model for assisting thyroid nodule diagnosis and management.

Although using artificial intelligence (AI) to analyze ultrasound images is a promising approach to ...

Construction of a Multimodal Machine Learning Model for Papillary Thyroid Carcinoma Based on Pathomics and Ultrasound Radiomics Dataset.

The use of machine learning to integrate and analyse multimodal information has broad prospects for ...

Clinical performance of a machine learning-based model for detecting lymph node metastasis in papillary thyroid carcinoma: A multicenter study.

Papillary thyroid carcinoma (PTC) is a common endocrine malignancy with a generally favorable progno...

Combining Ultrasound Imaging and Molecular Testing in a Multimodal Deep Learning Model for Risk Stratification of Indeterminate Thyroid Nodules.

Indeterminate cytology (Bethesda III and IV) represents 15-30% of biopsied thyroid nodules and requ...

A Deep Learning Survival Model for Evaluating the Survival Prognosis of Papillary Thyroid Cancer: A Population-Based Cohort Study.

BACKGROUND: Deep learning can assess the individual survival prognosis in sizeable datasets with int...

Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types.

Cancer remains the second leading cause of death worldwide, representing a substantial challenge to ...

Deep learning model based on ultrasound images predicts BRAF V600E mutation in papillary thyroid carcinoma.

BRAF V600E mutation status detection facilitates prognosis prediction in papillary thyroid carcinoma...

Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is grow...

Leveraging machine learning in precision medicine to unveil organochlorine pesticides as predictive biomarkers for thyroid dysfunction.

Exposure to organochlorine pesticides (OCPs) poses significant health risks, including cancer, endoc...

Prediction of Seronegative Hashimoto's thyroiditis using machine learning models based on ultrasound radiomics: a multicenter study.

BACKGROUND: Seronegative Hashimoto's thyroiditis is often underdiagnosed due to the lack of antibody...

Identification of thyroid cancer biomarkers using WGCNA and machine learning.

OBJECTIVE: The incidence of thyroid cancer (TC) is increasing in China, largely due to overdiagnosis...

Comparative analysis of deep learning architectures for thyroid eye disease detection using facial photographs.

PURPOSE: To compare two artificial intelligence (AI) models, residual neural networks ResNet-50 and ...

An Early Thyroid Screening Model Based on Transformer and Secondary Transfer Learning for Chest and Thyroid CT Images.

IntroductionThyroid cancer is a common malignant tumor, and early diagnosis and timely treatment are...

Machine learning in lymphocyte and immune biomarker analysis for childhood thyroid diseases in China.

OBJECTIVE: This study aims to characterize and analyze the expression of representative biomarkers l...

Browse Specialties