Latest AI and machine learning research in thyroid for healthcare professionals.
Artificial intelligence (AI) is transforming healthcare and offers new tools in clinical research, p...
PURPOSE: This study investigates the efficiency of deep learning models in the automated diagnosis o...
This study reviews the recent progress of machine learning for the early diagnosis of thyroid diseas...
Whole-slide imaging (WSI) has wide spectrum of application in histopathology, especially in the stud...
Objective To establish an artificial intelligence model based on B-mode thyroid ultrasound images to...
To examine the surgical outcome of transoral robotic thyroidectomy. Clinic data of total 30 cases ...
OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-b...
Although papillary thyroid cancers are known to have a relatively low risk of recurrence, several fa...
Thyroid nodules are neoplasms commonly found among adults, with papillary thyroid carcinoma (PTC) be...
To develop a convolutional neural network based model for assisting pathological diagnoses on thyro...
To evaluate the complications of Da Vinci robotic thyroid surgery by bilateral axillo-breast approa...
BACKGROUND: Strategies for integrating artificial intelligence (AI) into thyroid nodule management r...
CONTEXT: Human zonulin is a protein that regulates the intercellular tight junctions in various tiss...
BACKGROUND: Thyroid hormone resistance (RTH) is defined as a decrease in response to thyroid hormone...
INTRODUCTION: Our goal was to evaluate and compare the diagnostic utility of thyroid hormone withdra...
BACKGROUND: The incidence of thyroid cancer has increased worldwide during the last decade, becoming...
OBJECTIVE: To construct deep learning (DL) models to improve the accuracy and efficiency of thyroid ...
PURPOSE OF REVIEW: Current methods for thyroid nodule risk stratification are subjective, and artifi...
Ultrasonography with fine-needle aspiration biopsy is commonly used to detect thyroid cancer. Howeve...
The accurate localization of nodules in ultrasound images can convey crucial information to support ...
The performances of deep convolutional neural network (DCNN) modeling and transfer learning (TF) for...