The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high
accuracy and high efficiency in medical decision-making for individualized cancer medicine …

Artificial Intelligence (AI) is a branch of computer science that deals with mathematical
algorithms to mimic the abilities and intellectual work performed by the human brain …

Background Precise preoperative evaluation of lymph node metastasis (LNM) is crucial for
ensuring effective treatment for rectal cancer (RC). This research aims to develop a clinical …

Purpose This study aimed to develop and validate CT-based models to predict pathological
complete response (pCR) after neoadjuvant chemotherapy (NAC) for advanced …

Background To build and validate a radiomics nomogram based on preoperative CT scans
and clinical data for detecting synchronous ovarian metastasis (SOM) in female gastric …

Gastric cancer (GC), the fifth most common cancer globally, remains the leading cause of
cancer deaths worldwide. Inflammation-induced tumorigenesis is the predominant process …

Despite the high prevalence of gastric cancer (GC), molecular biomarkers that can reliably
detect GC are yet to be discovered. The present study aimed to establish a robust gene …

According to the World Health Organization (WHO) and the International Agency for
Research on Cancer (IARC), the number of cancer cases and deaths worldwide is predicted …

Background Gastric cancer is a highly prevalent and fatal disease. Accurate differentiation
between early gastric cancer (EGC) and advanced gastric cancer (AGC) is essential for …

Background The objective of this study was twofold: firstly, to develop a convolutional neural
network (CNN) for automatic segmentation of rectal cancer (RC) lesions, and secondly, to …