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NOT YET RECRUITING
NCT07605312

AI-Based Risk Prediction Model for Upper Digestive Tract Cancer

Sponsor: National Taiwan University Hospital

View on ClinicalTrials.gov

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