Latest AI and machine learning research in thyroid for healthcare professionals.
Thyroid-associated ophthalmopathy (TAO) is a significant autoimmune eye disease known for causing ex...
Thyroid disease classification plays a crucial role in early diagnosis and effective treatment of th...
PURPOSE: This study aims to develop a non-invasive diagnosis model using machine learning (ML) for i...
In recent years, the incidence of thyroid cancer has rapidly increased. To address the issue of the ...
BACKGROUND: The TNFRSF9 molecule is pivotal in thyroid carcinoma (THCA) development. This study util...
Thyroid nodules are commonly diagnosed with ultrasonography, which includes internal characteristics...
The current thyroid ultrasound relies heavily on the experience and skills of the sonographer and th...
PURPOSE: The incidence of thyroid cancer is growing fast and surgery is the most significant treatme...
INTRODUCTION: Ultrasound is instrumental in the early detection of thyroid nodules, which is crucial...
Levothyroxine is one of the most prescribed drugs in the western world. Dosing is challenging due to...
BACKGROUND AND OBJECTIVE: The thyroid gland, a key component of the endocrine system, is pivotal in ...
We previously developed a machine learning (ML)-assisted system for predicting the clinical activit...
Deep learning techniques have been investigated for the computer-aided diagnosis of thyroid nodules ...
Thyroid-associated ophthalmopathy (TAO), also referred to as Graves' ophthalmopathy, is a medical co...
BACKGROUND: Prediction of lymph node metastasis (LNM) is critical for individualized management of p...
Thyroid nodules are a common occurrence, and although most are non-cancerous, some can be malignant....
AIM: To study the role of iodine, selenium and zinc in the pathogenesis of iodine deficiency and aut...
With the progress of robotic transaxillary thyroid surgery (RTTS), the indications for this procedur...
Ultrasonography is widely used to screen thyroid tumors because it is safe, easy to use, and low-cos...
OBJECTIVE: Deep learning algorithms have commonly been used for the differential diagnosis between b...
Artificial Intelligence (AI) models for medical diagnosis often face challenges of generalizability ...