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AI-Based Risk Prediction Model for Upper Digestive Tract Cancer
Sponsor: National Taiwan University Hospital
Summary
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.
Official title: Development of Artificial Intelligence Risk Prediction Model for Upper Digestive Tract Cancer Using High Resolution Endoscopic Image, Digital Pathology, Genetics, and Oro-gastro-intestinal Microbiota.
Key Details
Gender
All
Age Range
40 Years - Any
Study Type
OBSERVATIONAL
Enrollment
10000
Start Date
2026-05-18
Completion Date
2030-05-18
Last Updated
2026-05-28
Healthy Volunteers
Yes