The present study employed artificial intelligence (AI) machine learning technology to
evaluate the prognosis of gastric cancer using blood collection data, commonly used in …

Background Gastric cancer is one of the leading causes of cancer death in the world.
Improving gastric cancer survival prediction can enhance patient prognostication and …

The identification of diseases is inseparable from artificial intelligence. As an important
branch of artificial intelligence, convolutional neural networks play an important role in the …

Background Lymph node metastasis (LNM) in gastric cancer is a prognostic factor and has
implications for the extent of lymph node dissection. The lymphatic drainage of the stomach …

Esophageal cancer poses diagnostic, therapeutic and economic burdens in high-risk
regions. Artificial intelligence (AI) has been developed for diagnosis and outcome prediction …

In early gastric cancer (EGC), tumor invasion depth is an important factor for determining the
treatment method. However, as endoscopic ultrasonography has limitations when …

Background: Over the past decade, several artificial intelligence (AI) systems are developed
to assist in endoscopic assessment of (pre-) cancerous lesions of the gastrointestinal (GI) …

Technological advances in artificial intelligence (AI) represent an enticing opportunity to
benefit gastroenterological practice. Moreover, AI, through machine or deep learning …

Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in
various medical conditions, following the latest advancements in scientific literature …

Background and study aims The diagnostic ability of endoscopists to determine invasion
depth of early gastric cancer is not favorable. We designed an artificial intelligence (AI) …