Latest AI and machine learning research in thyroid for healthcare professionals.
INTRODUCTION: While most thyroid cancer patients have a favorable prognosis, anaplastic thyroid carc...
In this paper, a two-stage task weakly supervised learning algorithm is proposed. It accurately achi...
AIMS: Thyroid eye disease (TED) is an autoimmune orbital disorder that diminishes the quality of lif...
Thyroid nodules are a very common entity. The overall prevalence in the populace is estimated to be ...
BACKGROUND: Skip lymph node metastasis (SLNM) in papillary thyroid cancer (PTC) involves cancer cell...
PURPOSE: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS cla...
While ultrasonography effectively diagnoses Hashimoto's thyroiditis (HT), exploring its transcriptom...
BACKGROUND: Papillary thyroid carcinoma (PTC) is the predominant form of thyroid cancer globally, es...
Deep learning techniques are increasingly being used to classify medical imaging data with high accu...
BACKGROUND: Thyroid cancer, a common endocrine malignancy, has seen increasing incidence, making lym...
Thyroid diseases, including functional and neoplastic diseases, bring a huge burden to people's heal...
PURPOSE: Thyroid eye disease (TED) primarily occurs in hyperthyroid patients, sometimes resulting in...
BACKGROUND: Thyroid-associated orbitopathy (TAO) is an autoimmune inflammatory disorder of the orbit...
BACKGROUND: The insulin-like growth factor 1 receptor (IGF-1R) and the thyrotropin receptor (TSH-R) ...
PURPOSE: Thyroid nodules are common in the general population, and assessing their malignancy risk i...
OBJECTIVE: To investigate the association between thyroid dysfunction or thyroid autoimmunity (TAI) ...
The growing prevalence of environmental pollutants has raised concerns about their potential role in...
Organophosphate esters (OPEs) are widely used as flame retardants and plasticizers in daily commodit...
Thyroid illness encompasses a range of disorders affecting the thyroid gland, leading to either hype...
The morphological diagnosis of thyroid gland neoplasms presents a dual challenge: it requires the ex...
OBJECTIVE: The ACR Thyroid Imaging, Reporting, and Data System (TI-RADS) uses a score based on ultra...