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 a deep learning–based computer-aided diagnosis (CAD) system for
use in the CT diagnosis of cervical lymph node metastasis (LNM) in patients with thyroid …

Background Early preoperative evaluation of cervical lymph node metastasis (LNM) in
papillary thyroid carcinoma (PTC) is critical for further surgical treatment. However …

Papillary thyroid cancer (PTC) accounts for more than 80% of thyroid cancers, and
ultrasound (US) imaging is the preferred method for the diagnosis of PTC. However …

Objective Central lymph node metastasis (CLNM) is a predictor of poor prognosis for
papillary thyroid carcinoma (PTC) patients. The options for surgeon operation or follow-up …

Purpose This study aimed to validate a deep learning model's diagnostic performance in
using computed tomography (CT) to diagnose cervical lymph node metastasis (LNM) from …

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

Objectives This study aimed to develop a computed tomography (CT)-based radiomics
model to predict central lymph node metastases (CLNM) preoperatively in patients with …

Background Few highly accurate tests can diagnose central lymph node metastasis (CLNM)
of papillary thyroid cancer (PTC). Genetic sequencing of tumor tissue has allowed the …

Background Lymph node metastasis (LNM) assessment in patients with papillary thyroid
carcinoma (PTC) is of great value. This study aimed to develop a deep learning model …