Development of an AI-based Diagnostic System for Oral Diseases Using a Gastrointestinal Endoscopy System and Its Application to the Stratification of Gastrointestinal Cancer Risk

Development of an AI-based Diagnostic System for Oral Diseases Using a Gastrointestinal Endoscopy System and Its Application to the Stratification of Gastrointestinal Cancer Risk - Diagnosis of Oral Diseases Using a Gastrointestinal Endoscopy System

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000059336

Enrollment

600

Registered

2025-10-09

Start date

2025-10-10

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Dental caries, periodontal disease, esophageal cancer, and gastric cancer

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Patients scheduled to undergo upper gastrointestinal endoscopy at our hospital 2. Patients currently receiving treatment at the Department of Periodontology in our hospital 3. Volunteers who wish to participate in this study 4. Patients aged 18 years or older, regardless of sex

Exclusion criteria

Exclusion criteria: 1. Individuals who express a desire not to participate in the study 2. Individuals deemed inappropriate for inclusion in the study at the discretion of the physician

Design outcomes

Primary

Measure	Time frame
Diagnostic concordance between oral assessments based on intraoral images (white-light, NBI, and TXI modes) captured by a gastrointestinal endoscopy system and those obtained through direct clinical examinations by dentists	—

Secondary

Measure	Time frame
1. Diagnostic performance of AI-based oral disease detection using endoscopic images 2. Association between oral findings and gastrointestinal or head and neck cancers	—

Countries

Japan

Contacts

Public ContactKazuya Takahashi

Graduate School of Medical and Dental Sciences, Niigata University Division of Gastroenterology and Hepatology

kazuya911@med.niigata-u.ac.jp0252272207

Outcome results