Published online Jun 28, 2022. doi: 10.35711/aimi.v3.i3.70
Peer-review started: January 28, 2022
First decision: March 28, 2022
Revised: May 18, 2022
Accepted: June 20, 2022
Article in press: June 20, 2022
Published online: June 28, 2022
The development of artificial intelligence in endoscopic assessment of the gastrointestinal tract has shown progressive enhancement in diagnostic acuity. This review discusses the expanding applications for gastric and esophageal diseases. The gastric section covers the utility of AI in detecting and characterizing gastric polyps and further explores prevention, detection, and classification of gastric cancer. The esophageal discussion highlights applications for use in screening and surveillance in Barrett's esophagus and in high-risk conditions for esophageal squamous cell carcinoma. Additionally, these discussions highlight applications for use in assessing eosinophilic esophagitis and future potential in assessing esophageal microbiome changes.
Core Tip: The application of artificial intelligence (AI) in gastroenterology has demonstrated broad utility in esophageal and gastric disease diagnosis and management. The current data shows that AI can be used for gastric polyp and cancer detection and characterization as well as screening and surveillance for esophageal cancer and its high-risk conditions such as Barrett’s esophagus. The AI systems can also apply in conditions such as achalasia, post-caustic esophageal injuries, and eosinophilic esophagitis.