Latest AI and machine learning research in thyroid for healthcare professionals.
Computer-aided segmentation of thyroid nodules in ultrasound imaging could assist in their accurate ...
BACKGROUND: The aim of this study was to evaluate the safety and efficacy of transoral robotic and e...
With the development of computed tomography (CT), the contrast-enhanced CT scan is widely used in th...
How to differentiate thyroid cancer nodules from a large number of benign nodules is always a challe...
PURPOSE: To evaluate 2 published normal tissue complication probability models for radiation-induced...
Accurate diagnosis of thyroid nodules using ultrasonography is a valuable but tough task even for ex...
OBJECTIVE: Microcephalic primordial dwarfism (MPD) is a group of clinically and genetically heteroge...
The purpose of this study was to develop and validate a radiomics model for evaluating immunohistoc...
BackgroundManagement of thyroid nodules may be inconsistent between different observers and time con...
BACKGROUND: This study aimed to establish an artificial neural network (ANN) model based on variant ...
Background Risk stratification systems for thyroid nodules are often complicated and affected by low...
We use Raman microscopic images with high spatial and spectral resolution to investigate differences...
BACKGROUND: There is ongoing debate about whether or not robot-assisted thyroidectomy is appropriate...
Objective: The main objective of this paper is to easily identify thyroid symptom for treatment. Met...
Increasing evidence has indicated that microRNAs(miRNAs) play vital roles in various pathological pr...
The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item simila...
BACKGROUND: In the past 20 years, the fast spread of new surgical technologies has reached an import...
PURPOSE: To develop a deep learning-based computer-aided diagnosis (CAD) system for use in the CT di...
Five years ago, robot-assisted transaxillary thyroidectomy (RATT) was introduced in the Netherlands....
PURPOSE: The purpose of this study was to evaluate the performance of a deep learning algorithm in d...
BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ...