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Research on Artificial Intelligence Disease Identification System Based on Dynamic Big Data of Digestive Endoscope

Research on Artificial Intelligence Disease Identification System Based on Dynamic Big Data of Digestive Endoscope

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2200063891
Enrollment
Unknown
Registered
2022-09-20
Start date
2022-09-20
Completion date
Unknown
Last updated
2023-04-17

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

Conditions

Atrophic gastritis, polyp, adenoma

Interventions

control group:Nothing
Experimental group:Applied AI products
Software independent judgment result group:Perform software independent diagnosis
Expert diagnosis result group:Independent evaluation by third-party experts

Sponsors

Beijing Friendship Hospital,Capital Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Age is 18 years or older, male or female; 2) Subjects with gastric or colonoscopy diagnosis and screening needs; 3) Sign a written informed consent.

Exclusion criteria

Exclusion criteria: 1) Past history of acute myocardial infarction, severe cardiac, hepatic and renal insufficiency, or mental illness. 2) Those who are taking anticoagulants such as aspirin and warfarin. 3) Re-examination of inflammatory bowel disease and polyposis; 4) Subjects with a history of gastrectomy or colon resection; 5) Patients with familial polyposis; 6) Subjects that the researcher thinks are not suitable to participate in this clinical trial.

Design outcomes

Primary

MeasureTime frame
Sensitivity and specificity of polyps detection;Detection rate of atrophic gastritis, polyps and adenomas;

Secondary

MeasureTime frame
Sensitivity and specificity of identification of polyps in software;Detection rate of atrophic gastritis and adenoma in software group;

Countries

China

Contacts

Public ContactZhu Shengtao

Beijing Friendship Hospital,Capital Medical University

zhushengtao@ccmu.edu.cn13111313236

Outcome results

None listed

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