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AI-Based Risk Prediction Model for Upper Digestive Tract Cancer

NCT07605312 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2026-05-22

No results posted yet for this study

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.

Conditions

  • Gastric Cancer (GC)
  • Premalignant Lesion
  • Gastric Intestinal Metaplasia
  • Atrophic Gastritis
  • Dysplasia Stomach
  • Esophageal Cancer (EsC)

Sponsors & Collaborators

  • National Taiwan University Hospital

    lead OTHER

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-05-18
Primary Completion
2030-05-18
Completion
2030-05-18

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07605312 on ClinicalTrials.gov