Background Artificial intelligence (AI) performed variously among test sets with different
diversity due to sample selection bias, which can be stumbling block for AI applications. We …

Background Neoadjuvant chemotherapy (NAC) has been recognized as an effective
therapeutic option for locally advanced gastric cancer as it is expected to reduce tumor size …

This comprehensive review explores the transformative role of artificial intelligence (AI) in
the realm of gastrointestinal cancer. Gastrointestinal cancers present unique challenges …

Background Gastric cancer is the third most lethal malignancy worldwide. A novel deep
convolution neural network (DCNN) to perform visual tasks has been recently developed …

Objective: The objective of this study is to thoroughly investigate the use of artificial
intelligence (AI) and machine learning (ML) techniques for diagnosing and predicting …

Gastric diffuse-type adenocarcinoma represents a disproportionately high percentage of
cases of gastric cancers occurring in the young, and its relative incidence seems to be on …

Background Accurate identification of the differentiation status and margins for early gastric
cancer (EGC) is critical for determining the surgical strategy and achieving curative resection …

The application of artificial intelligence in gastroenterology endoscopy remains promising.
Advances over the past year include improved detection of GI neoplasia during endoscopy …

Background Visual inspection, lesion detection, and differentiation between malignant and
benign features are key aspects of an endoscopist's role. The use of machine learning for …

With recent breakthroughs in artificial intelligence, computer‐aided diagnosis (CAD) for
upper gastrointestinal endoscopy is gaining increasing attention. Main research focuses in …