Context Urologists regularly develop clinical risk prediction models to support clinical
decisions. In contrast to traditional performance measures, decision curve analysis (DCA) …

Background Nomogram, a visual clinical predictive model, provides a scientific basis for
clinical decision making. Herein, we investigated 20 years of nomogram research …

Background Low‐grade endometrial stromal sarcoma (LG‐ESS) is a rare tumor that lacks a
prognostic prediction model. Our study aimed to develop a nomogram to predict overall …

Purpose To develop and validate a radiomics nomogram for preoperative prediction of
lymph node (LN) metastasis in patients with colorectal cancer (CRC). Patients and Methods …

Background Copper ions are essential for cellular physiology. Cuproptosis is a novel
method of copper-dependent cell death, and the cuproptosis-based signature for glioma …

Purpose: To develop and validate a radiomics model for evaluating pathologic complete
response (pCR) to neoadjuvant chemoradiotherapy in patients with locally advanced rectal …

Background The features and survival of stage IV breast cancer patients with different
metastatic sites are poorly understood. This study aims to examine the clinicopathological …

Esophageal squamous cell carcinoma (ESCC) is the main prevalent histological type of
esophageal cancer, predominantly constituting 90% of cases worldwide. Despite the …

Background: Radiomics has emerged as a new approach that can help identify imaging
information associated with tumor pathophysiology. We developed and validated a …

Machine learning-based tools are capable of guiding individualized clinical management
and decision-making by providing predictions of a patient's future health state. Through their …