Not_yet_recruitingNCT07605312

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.

Sponsor: National Taiwan University Hospital

Trial Details

Condition	Gastric Cancer (GC), Premalignant Lesion, Gastric Intestinal Metaplasia, Atrophic Gastritis, Dysplasia Stomach, Esophageal Cancer (EsC)
Status	Not_yet_recruiting
Participants	10,000
Est. Completion	18 May 2030
Last Updated	28 May 2026

Primary Outcome

Upper digestive tract cancer development

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Patients undergoing upper gastrointestinal endoscopy. * Patients with at least one of the following conditions or indications: * Previous or current Helicobacter pylori infection (confirmed by serology, histopathology, urea breath test, rapid urease test, or stool antigen test); * Dyspeptic symptoms; * Gastroesophageal reflux disease; * History of oral, oropharyngeal, or hypopharyngeal squamous cell carcinoma; * Barrett's esophagus; * Gastric premalignant lesions (intestinal metaplasia or atrophic gastritis); * Gastric subepithelial lesions. Exclusion Criteria: \-

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Related Analysis

Landmark 10,000-Patient Study Launches: Comprehensive Risk Prediction Model for Upper GI Cancers Using Endoscopy, Genetics, and Microbiota Data

A landmark 10,000-patient study will develop comprehensive risk prediction models for upper digestive tract cancers using endoscopy, genetics, and microbiota data. The six-year prospective cohort study aims to revolutionize screening strategies for gastric and esophageal cancers.

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