Latest AI and machine learning research in thyroid for healthcare professionals.
OBJECTIVE: An anaesthetic approach and surgery are important treatment strategies in patients with t...
BACKGROUND: Although many experiences using the da Vinci Robot System have been reported by several ...
PURPOSE: Percutaneous tunneling (hydrodissection) in the neck and anterior chest in patients undergo...
OBJECTIVES/HYPOTHESIS: Despite immense interest, robotic-assisted thyroidectomy (RT) remains controv...
OBJECTIVES/HYPOTHESIS: New approaches for robotic-assisted thyroidectomy, including the retroauricul...
BACKGROUND: Robotic-assisted thyroid surgery using a retroauricular approach was reported as a novel...
BACKGROUND: Thyroid cancer is one of the most common cancers in clinical practice, and accurate clas...
OBJECTIVE: To evaluate the value of combining American College of Radiology (ACR) Thyroid Imaging Re...
OBJECTIVES: To develop a convolutional neural network (CNN) model to diagnose thyroid cartilage inva...
OBJECTIVE: Differentiating between follicular thyroid adenoma (FTA), carcinoma (FTC), and follicular...
BACKGROUND: The global increase in thyroid cancer prevalence, particularly among female populations,...
Organs dynamically interact with each other through immunomodulation to create a systemic immune res...
PURPOSE: Current guidelines for thyroid radiation dose prescription lack uniformity and fail to cons...
BACKGROUND: In recent years, there has been increasing data showing that the risk of acute pancreati...
This study evaluated the potential of multimodal AI chatbots, specifically ChatGPT-4o, in assessing ...
OBJECTIVE: Construct a prediction model for lymph node metastasis (LNM) in papillary thyroid carcino...
OBJECTIVES: This study aimed to develop a predictive model for ipsilateral level II lymph node metas...
OBJECTIVE: To evaluate the performance of GPT-4 and GPT-4o in accurately identifying features and ca...
OBJECTIVES: To develop a deep learning (DL) model based on ultrasound (US) images of lymph nodes for...
Weakly-supervised learning methods have become increasingly attractive for medical image segmentatio...
To address inter-frame motion artifacts in ultrasound quantitative high-definition microvasculature ...