Background: The use of artificial intelligence (AI) in health care has grown exponentially with
the promise of facilitating biomedical research and enhancing diagnosis, treatment …

Purpose to evaluate the diagnostic performance of radiomics in lymph node metastasis
(LNM) prediction in patients with papillary thyroid carcinoma (PTC) through a systematic …

Objectives A radiomics-based explainable eXtreme Gradient Boosting (XGBoost) model was
developed to predict central cervical lymph node metastasis (CCLNM) in patients with …

Objectives To develop an artificial intelligence (AI) system for predicting cervical lymph node
metastasis (CLNM) preoperatively in patients with papillary thyroid cancer (PTC) based on …

Purpose To develop and validate a radiomics nomogram based on ultrasound (US) to
predict central cervical lymph node (LN) metastasis in patients with papillary thyroid …

Objectives To build a combined model based on the ultrasound radiomic and morphological
features, and evaluate its diagnostic performance for preoperative prediction of central …

Objective We aimed to develop a clinical-radiomics nomogram that could predict the cervical
lymph node metastasis (CLNM) of patients with papillary thyroid carcinoma (PTC) using …

Rationale and Objectives This study aimed to develop and validate a dual-energy CT
(DECT)-based model for preoperative prediction of the number of central lymph node …

Objective The accurate clinical diagnosis of cervical lymph node metastasis plays an
important role in the treatment of differentiated thyroid cancer (DTC). This study aimed to …

Objective The purpose of this research was to develop a radiomics model that combines
several clinical features for preoperative prediction of the pathological grade of bladder …