Gastric cancer (GC) is one of the most common malignant tumors with high mortality.
Accurate diagnosis and treatment decisions for GC rely heavily on human experts' careful …

Gastric cancer is the fourth leading cause of cancer-related mortality across the globe, with a
5-year survival rate of less than 40%. In recent years, several applications of artificial …

Gastric cancer is a leading contributor to cancer incidence and mortality globally. Recently,
artificial intelligence approaches, particularly machine learning and deep learning, are …

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 …

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 one of the most common cancers and one of the leading causes of
cancer-related death worldwide. Precise diagnosis and evaluation of GC, especially using …

Background: With the development of new technologies such as magnifying endoscopy with
narrow band imaging, endoscopists achieved better accuracy for diagnosis of gastric cancer …

Image recognition using artificial intelligence (AI) has progressed significantly due to
innovative technologies such as machine learning and deep learning. In the field of gastric …

Background To reduce the high incidence and mortality of gastric cancer (GC), we aimed to
develop deep learning-based models to assist in predicting the diagnosis and overall …

Background: Gastric cancer (GC), a significant health burden worldwide, is typically
diagnosed in the advanced stages due to its non-specific symptoms and complex …