Study of Artificial Intelligence Assistance in Detecting Helicobacter Pylori Infection and Premalignant Gastric Lesions During Routine Upper Endoscopy to Reduce Gastric Cancer Deaths

What this Trial Is About

Researchers are evaluating the impact of artificial intelligence AI assistance during routine upper endoscopy on reducing deaths specifically caused by gastric cancer. The study compares AI-assisted endoscopy to routine endoscopy to see if AI can improve detection of Helicobacter pylori infection and premalignant gastric conditions. Detecting these early may help prevent the development of gastric cancer or allow earlier treatment. Participants are randomly assigned to one of two groups one undergoes routine endoscopy without AI assistance, and the other has routine endoscopy with AI-assisted interpretation to help doctors identify H. pylori infection and premalignant lesions. Patients diagnosed with H. pylori typically receive antibiotic treatment to eradicate the infection, and those with premalignant conditions are usually advised to have surveillance endoscopy every two years. The study aims to see if AI support further reduces gastric cancer deaths over up to five years. During the study, participants will have scheduled endoscopies, and researchers will monitor outcomes including gastric cancer-specific mortality. The study includes adults aged 20 to 80 who are scheduled for endoscopy, and those with a history of gastric surgery are excluded. The study is sponsored by National Taiwan University Hospital and plans to complete by the end of 2028.

Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion