AI-Based Risk Prediction Model for Upper Digestive Tract Cancer

Upper digestive tract cancers are often preceded by pre-malignant lesions, but there is limited evidence regarding optimal risk prediction models and screening strategies for disease progression and cancer development. This prospective multicenter cohort study aims to establish a longitudinal database integrating clinical information, endoscopic findings, pathology, genetics, epigenetics, and gastrointestinal microbiota data from subjects undergoing upper digestive tract endoscopy. The study will develop explainable artificial intelligence (AI)-based risk prediction models to identify factors associated with disease progression, treatment response, and cancer development. Participants will be followed longitudinally to evaluate changes in lesion severity and clinical outcomes.

NCT Number	NCT07605312
Lead Sponsor	National Taiwan University Hospital
Conditions	Gastric Cancer (GC), Premalignant Lesion, Gastric Intestinal Metaplasia, Atrophic Gastritis, Dysplasia Stomach, Esophageal Cancer (EsC)
Enrollment	10,000 participants
Start Date	2026-05-18
Primary Completion	2030-05-18 (estimated)
Study Completion	2030-05-18 (estimated)
Updated on ClinicalTrials.gov	2026-05-28