Latest AI and machine learning research in thyroid for healthcare professionals.
OBJECTIVES: This study aimed to develop a model for predicting peripheral lymph node metastasis (LNM...
Early detection of malignant thyroid nodules is crucial for effective treatment, but traditional dia...
Predicting and quantifying phenotypic consequences of genetic variants in rare disorders is a major ...
Machine learning models, including thyroid biomarkers, are increasingly utilized in healthcare for b...
BACKGROUND: Thyroid nodules classified within the Thyroid Imaging Reporting and Data Systems (TI-RAD...
BACKGROUND: Thyroid cancer is a prevalent malignancy requiring accurate subtype identification for e...
PURPOSE: This meta-analysis aims to evaluate the diagnostic performance of CT-based artificial intel...
OBJECTIVE: To develop, test, and externally validate a hybrid artificial intelligence (AI) model bas...
OBJECTIVE: BRAF is the most common mutation found in thyroid cancer and is particularly associated w...
Approximately 50% of Alzheimer's disease (AD) patients develop psychotic symptoms, leading to a subt...
Preoperative ultrasound examination of thyroid nodules is the most economical and effective screenin...
PURPOSE: This clinical trial examined how the articifial intelligence (AI)-based diagnostics system ...
Thyroid nodules are a common endocrine condition, and accurate differentiation between benign and ma...
Artificial intelligence (AI) is significantly transforming surgery by enhancing precision, decision-...
BACKGROUND: The risk of malignancy in thyroid nodules is higher in children than in adults, often ne...
The larynx of children and adolescents is still in the developmental phase and the anatomical struct...
OBJECTIVE: Few prognostic analyses have been conducted for papillary thyroid cancer (PTC) patients w...
CONTEXT: Understanding factors delaying recovery in thyrotoxicosis patients is crucial for optimizin...
Thyroid tissue is sensitive to the effects of endocrine disrupting substances, and this represents a...
BACKGRUOUND: This study aimed to evaluate the applicability of deep learning technology to thyroid u...
Weakly-supervised learning (WSL) methods have gained significant attention in medical image segmenta...