Latest AI and machine learning research in thyroid for healthcare professionals.
Trans-axillary robot-assisted total thyroidectomy (RATT) is nowadays worldwide accepted but the comp...
INTRODUCTION: While the performance of a thyroidectomy is generally associated with a low risk of in...
BACKGROUND: Transoral robotic thyroidectomy (TORT) is one of the newest approaches and draws attenti...
OBJECTIVES: The purpose is to apply a previously validated deep learning algorithm to a new thyroid ...
BACKGROUND: Transaxillary gasless endoscopic thyroidectomy (TGET) is a widely performed operation, b...
BACKGROUND: Identifying thyroid nodules' boundaries is crucial for making an accurate clinical asses...
Nodules of thyroid cancer occur in the cells of the thyroid as benign or malign types. Thyroid sonog...
objectives: Telomerase reverse transcriptase () promoter mutation, found in a subset of patients wi...
OBJECTIVE: The Dutch Congenital hypothyroidism (CH) Newborn Screening (NBS) algorithm for thyroidal ...
BACKGROUND: Recently, robotic surgery has been introduced as a new surgical approach to the thyroid.
OBJECTIVE: Central lymph node metastasis (CLNM) is a predictor of poor prognosis for papillary thyro...
BACKGROUND: Few highly accurate tests can diagnose central lymph node metastasis (CLNM) of papillary...
INTRODUCTION: Remote-access thyroidectomy has been reported in the pediatric population in a limited...
Thyroid cancer is the most common endocrine cancer. Papillary thyroid cancer (PTC) is the most preva...
Neural network models have been used to analyze thyroid ultrasound (US) images and stratify malignan...
According to the Indian health line report, 12% of the population suffer from abnormal thyroid funct...
Thyroid nodules, a common disease of endocrine system, have a probability of nearly 10% to turn into...
Identification and classification of surrounding neck tissues are very important in thyroid surgery....
The new da Vinci® single-port (SP) robotic system, which utilizes a smaller incision and work space ...
OBJECTIVES: Deep learning algorithms have shown potential in streamlining difficult clinical decisio...
Intraoperative guidance tools for thyroid surgery based on optical coherence tomography (OCT) could ...