Background Intestinal ischemia is a potentially catastrophic abdominal emergency that
presents a significant diagnostic challenge in the critical care setting. We performed a …

Esophageal cancer poses diagnostic, therapeutic and economic burdens in high-risk
regions. Artificial intelligence (AI) has been developed for diagnosis and outcome prediction …

Objective Using visual bibliometric analysis, the application and development of artificial
intelligence in clinical esophageal cancer are summarized, and the research progress …

Background Acute pancreatitis has a variable natural history and in a proportion of patients
is associated with severe complications and a significant risk of death. The various tools …

Objective To compare the performance of a deep learning survival network with the tumor,
node, and metastasis (TNM) staging system in survival prediction and test the reliability of …

Cancer is the second leading cause of death after cardiovascular diseases in the world.
Health professionals are seeking ways for suitable treatment and quality of care in these …

Esophageal squamous cell carcinoma (ESCC) is a common malignant tumor of the
digestive system with poor prognosis and high mortality. It is of great significance to predict …

Background Machine learning (ML) has seen an increase in application, and is an important
element of a digital evolution. The role of ML within upper gastrointestinal surgery for …

Background Accurate prediction of prognosis in gastro-oesophageal cancer remains
challenging. The aim of this study was to develop a robust model for outcome prediction …

Background: We aim to develop effective models for predicting postoperative distant
metastasis for oesophageal squamous cell carcinoma (OSCC) for the purpose of guiding …