Given the breakthroughs in key technologies, such as image recognition, deep learning and
neural networks, artificial intelligence (AI) continues to be increasingly developed, leading to …

The latest state of the art technological innovations have led to a palpable progression in
endoscopic imaging and may facilitate standardisation of practice. One of the most rapidly …

OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is
increasing. The aim of the study was to examine the accuracy of convolutional neural …

Background and study aims Early studies have shown that artificial intelligence (AI) has the
potential to augment the performance of gastroenterologists during endoscopy. Our aim was …

Background and aims Endoscopic diagnosis of early esophageal squamous cell cancer
(ESCC) is complicated and dependent on operators' experience. This study aimed to …

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 …

Many researchers are trying hard to minimize the incidence of cancers, especially GC. For
GC, the five-year survival rate is generally 5–25%, but for EGC it can be reduced by up to …

Background and study aims Colorectal cancers (CRC) with deep submucosal invasion (T1b)
could be metastatic lesions. However, endoscopic images of T1b CRC resemble those of …

In order to explore the application of machine learning algorithm to intelligent analysis of big
data in an artificial intelligence (AI) environment, make cognitive computing meet the …

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 …