Background and Aims According to guidelines, endoscopic resection should only be
performed for patients whose early gastric cancer invasion depth is within the mucosa or …

Background Upper gastrointestinal cancers (including oesophageal cancer and gastric
cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep …

Helicobacter pylori (H. pylori) infection is the principal cause of chronic gastritis, gastric
ulcers, duodenal ulcers, and gastric cancer. In clinical practice, diagnosis of H. pylori …

Background Deep learning models have previously been established to predict the
histopathology and invasion depth of gastric lesions using endoscopic images. This study …

Artificial intelligence (AI), also known as computer-aided diagnosis, is a technology that
enables machines to process information and functions at or above human level and has …

Gastric ulcer is one of the most common types of stomach disease. Malignancy
suspiciousness classification of gastric ulcer is a crucial indicator for early cancer detection …

Background We aimed to develop and validate a real-time deep convolutional neural
networks (DCNNs) system for detecting early gastric cancer (EGC). Methods All 45,240 …

Background Artificial intelligence (AI) for gastric cancer diagnosis has been discussed in
recent years. The role of AI in early gastric cancer is more important than in advanced gastric …

Background and Aim Stratifying gastric cancer (GC) risk and endoscopy findings in high‐risk
individuals may provide effective surveillance for GC. We developed a computerized image …

Abstract Background and Aim Recently, artificial intelligence (AI) has been used in
endoscopic examination and is expected to help in endoscopic diagnosis. We evaluated the …