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Study on the efficacy of AI diagnostic model for chronic atrophic gastritis

Study on improving the diagnostic accuracy of chronic atrophic gastritis with the aid of endoscopic hierarchical artificial intelligence model

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100953
Enrollment
Unknown
Registered
2025-04-17
Start date
2025-04-20
Completion date
Unknown
Last updated
2025-04-21

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

Conditions

Chronic atrophic gastritis

Interventions

Experimental group:None
Control group:no

Sponsors

The First Affiliated Hospital of Army Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Patients are 18 years of age and older; 2.Tolerance to anesthesia, anesthesia risk level 1, 2 or 3; 3.A gastroscopy is required; 4.Patients and their families can give informed consent;

Exclusion criteria

Exclusion criteria: 1.There is coagulation dysfunction; 2.Pregnant patient; 3.Allergies to anesthetics in the past; 4.The researchers deemed the patient unfit for the trial; 5.Unable to provide informed consent;

Design outcomes

Primary

MeasureTime frame
Accuracy rate;—

Countries

China

Contacts

Public ContactLei Chen

The First Affiliated Hospital of Army Medical University

chenlei1977603@126.com+86 13228683896

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026