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Application and research of deep learning-based diagnosis model of chronic atrophic gastritis in real-time video monitoring of gastroscopy

Application and research of deep learning-based diagnosis model of chronic atrophic gastritis in real-time video monitoring of gastroscopy

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100044458
Enrollment
Unknown
Registered
2021-03-18
Start date
2022-01-01
Completion date
Unknown
Last updated
2021-09-20

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

Conditions

chronic atrophic gastritis

Interventions

Gold Standard:gastroenterologists' diagnosis
Index test:the&#32
deep&#32
learning&#32
diagnostic&#32
model

Sponsors

Xuanwu Hospital of Capital Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: Patients aged 18 years or above who underwent gastroscopy in the digestive endoscopy center of our hospital and volunteered to participate in this study (the study followed the procedures in accordance with the ethical standards established by the academic ethics committee of our hospital, was approved by the committee, the informed consent of the subjects was obtained, and the informed consent of the clinical study was signed with the patients).

Exclusion criteria

Exclusion criteria: 1) Patients who could not tolerate gastroscopy and did not complete the entire procedure. 2) Patients with contraindications to biopsy, such as taking anticoagulant and antiplatelet drugs. 3) Patients who do not agree with the study or who request to withdraw from the study during gastroscopy.

Design outcomes

Primary

MeasureTime frame
diagnostic rate;

Countries

China

Contacts

Public ContactQuchuan Zhao

Xuanwu Hospital of Capital Medical University

linethree@sina.com+86 10-83198872

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 18, 2026