Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …

Objective This study aims to systematically review the application of artificial intelligence (AI)
techniques in gastric cancer and to discuss the potential limitations and future directions of …

Background In the United States, national guidelines suggest that aggressive cancer care
should be avoided in the final months of life. However, guideline compliance currently …

Pancreatic cancer is a highly lethal disease associated with significant morbidity and
mortality. In the United States (US), the overall 5-year relative survival rate for pancreatic …

Aim: We systematically review current clinical applications of artificial intelligence (AI) that
use machine learning (ML) methods for decision support in surgical oncology with an …

Shot peening is an important process for the forming in aerospace industries. However, it is
difficult to design the process parameters because of the complex nonlinear relationship …

Background In order to better assist medical professionals, this study aimed to develop and
compare the performance of three models—a multivariate logistic regression (LR) model, an …

Background Recently, artificial neural network (ANN) methods have also been adopted to
deal with the complex multidimensional nonlinear relationship between clinicopathologic …

Increasing clinical contributions and novel techniques have been made by artificial
intelligence (AI) during the last decade. The role of AI is increasingly recognized in cancer …

Gastric cancer (GC) is the fifth most frequent malignancy worldwide and the third leading
cause of cancer-associated mortality. The study's goal was to construct a predictive model …