Skip to content

Technical study on the diagnosis of gastroesophageal reflux disease assisted by artificial intelligence in digestive endoscopy

Technical study on the diagnosis of gastroesophageal reflux disease assisted by artificial intelligence in digestive endoscopy

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600118668
Enrollment
Unknown
Registered
2026-02-09
Start date
2026-02-09
Completion date
Unknown
Last updated
2026-02-16

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

Conditions

Gastroesophageal reflux disease

Interventions

Los Angeles Grading Model Group:None
Hill Classification Model Group:None
Classification and segmentation model group:None

Sponsors

The First Affiliated Hospital of Dalian Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >=18 years old; 2. Endoscopic examination will be conducted at the Digestive Endoscopy Center of the First Affiliated Hospital of Dalian Medical University from 2023 to 2025. The examination video can be classified into Los Angeles or Hill grades; 3. The clinical data is complete and there are no interfering factors that affect the diagnosis;

Exclusion criteria

Exclusion criteria: 1. Poor endoscopic video quality (e.g., halo effect, blurriness, excessive mucus or blood); 2. Presence of foreign objects in the video, such as biopsy forceps, gastric tube, or triple-lumen nutrition tube; 3. Coexisting conditions including fungal esophagitis, eosinophilic esophagitis, viral esophagitis, or radiation esophagitis; 4. Coexisting esophageal varices or upper gastrointestinal malignancy; 5. History of upper gastrointestinal surgery.

Design outcomes

Primary

MeasureTime frame
Model classification accuracy;Consistency between model and endoscopist diagnosis;

Countries

China

Contacts

Public ContactDuan Zhijun

The First Affiliated Hospital of Dalian Medical University

cathydoctor@sina.com+86 411 83635963

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 19, 2026