The second most common type of malignant tumor worldwide is colorectal cancer.
Histopathology image analysis offers crucial data for the clinical diagnosis of colorectal …

Objectives The Immunoscore can categorize patients into high-and low-risk groups for
prognostication in colorectal cancer (CRC). Collagen plays an important role in …

Gastrointestinal (GI) cancers cause major global morbidity and mortality, with over 5 million
new cases and 3.5 million deaths in 2020. The most prevalent GI malignancies are …

Background Several studies have explored the effectiveness of PD-1/PD-L1 inhibitors
combined with neoadjuvant chemoradiotherapy (nCRT) in the treatment of locally advanced …

Colorectal cancer (CRC) histopathological image classification is a critical part of
diagnosing CRC. In this context, the classification efficiency of deep learning methods is …

Aim The aim of this study was to develop a validated nomogram to predict the risk of
postoperative complications in colorectal cancer (CRC) patients by analyzing the factors that …

Background and objective We are living in the information era. Therefore, intelligence-based
researchers are hot-topic such as artificial intelligence. In the artificial intelligence research …

Introduction The aim of research was to study the feasibility and safety of surgery providing
specimen extraction through natural orifices in patients with colorectal cancer. Materials and …

Objective To evaluate the risk factors for postoperative incision infection in colorectal cancer,
this meta-analysis aimed to identify key variables impacting infection incidence following …

Artificial intelligence (AI) is the capability of a machine to execute cognitive processes that
are typically considered to be functions of the human brain. It is the study of algorithms that …