Latest AI and machine learning research in thyroid for healthcare professionals.
BACKGROUND: Surgical excision of an ectopic lingual thyroid has traditionally been associated with significant morbidity and has therefore been reserved for patients with severe obstructive symptoms or suspected malignancy. Transoral robotic surgery (TORS) has provided a minimally invasive approach to completely and safely excise ectopic lingual thyroid.
OBJECTIVE: To conduct a meta-analysis to compare the short-term outcomes of robotic thyroidectomy and conventional open thyroidectomy for differentiated thyroid cancer.
Robot-assisted transaxillary thyroid surgery avoids the need for a neck incision. It consists of thyroid lobectomy and isthmectomy for moderately larg...
BACKGROUND: Retropharyngeal metastases are uncommon but a well-known location for regional spread of well-differentiated thyroid carcinoma (WDTC). Sur...
To diagnose the malignancy in thyroid tumor, neural network approach is applied and the performances of thirteen batch learning algorithms are investi...
OBJECTIVE: An anaesthetic approach and surgery are important treatment strategies in patients with thyroid dysfunction due to potential complications....
BACKGROUND: Although many experiences using the da Vinci Robot System have been reported by several groups, there is substantial controversy over the ...
PURPOSE: Percutaneous tunneling (hydrodissection) in the neck and anterior chest in patients undergoing robotic thyroidectomy leads to significant hem...
OBJECTIVES/HYPOTHESIS: Despite immense interest, robotic-assisted thyroidectomy (RT) remains controversial in differentiated thyroid carcinoma (DTC). ...
OBJECTIVES/HYPOTHESIS: New approaches for robotic-assisted thyroidectomy, including the retroauricular approach, were recently described. We have modi...
BACKGROUND: Robotic-assisted thyroid surgery using a retroauricular approach was reported as a novel remote access technique for hemithyroidectomy. We...
Background and Objective: Early and reliable disease prediction from structured clinical data remains challenging when datasets are small, highly imba...
Ultrasound is the primary imaging modality for assessing thyroid nodules, and the ACR TI-RADS framework standardizes diagnosis through five ultrasound...
Thyroid ultrasound diagnosis requires coordinated lesion localization, measurement, risk stratification and reporting, yet most AI systems address the...
Background: Deep learning models can classify thyroid nodules on ultrasound, but reliable clinical decision support also requires calibrated probabili...
Deep learning (DL) methods dominate thyroid nodule segmentation in ultrasound (US) images, achieving high Dice scores but at the cost of millions of p...
Convolutional neural networks (CNNs) can classify thyroid nodules on ultrasound, yet published models are seldom available for independent testing, re...
Background The European Association for the Study of the Liver (ESAL) - Steatotic Liver Disease (SLD) screening algorithm involves two steps; initial ...
Thyroid cancer is a heterogeneous malignancy with variable outcomes, highlighting the need for reliable biomarkers and effective risk stratification. ...
Background: Accurate preoperative prediction of lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remains challenging, particularly in ...