Study on How an Automatic Surveillance System Affects Monitoring of Patients with Stomach Premalignant Lesions

What this Trial Is About

Researchers are evaluating how an automatic surveillance system affects the monitoring rates of patients with gastric premalignant lesions. This prospective study compares three groups one using an intelligent automatic surveillance system, another with manual reminders from medical staff, and a control group under natural surveillance conditions. The study aims to improve adherence to surveillance guidelines, which is often inconsistent and time-consuming for doctors. The study involves an AI-based automatic surveillance AS system called ENDOANGEL-AS that identifies patients, assigns surveillance intervals based on risk, and proactively follows up at specific times. Patients in the manual reminder group receive surveillance prompts from medical staff, while the control group receives no special reminders. The study compares these three approaches over time. Participants will be monitored from enrollment for up to three years. Researchers will assess on-time surveillance rates, overall surveillance rates, and rates of advanced or delayed surveillance. Additional outcomes include the accuracy of patient identification and risk classification, lesion progression, persistence, regression, and incidence rates of early gastric and gastric cancer. The study includes regular evaluations based on endoscopic and pathological results.

Effect of the Automatic Surveillance System on Surveillance Rate of Patients with Gastric Premalignant Lesions