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Comparison of the performance of human readers versus ENDOANGEL for diagnosing early gastric cancer

A study evaluating the performance of an artificial intelligence system in the clinical application of digestive endoscopy

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000041110
Enrollment
Unknown
Registered
2020-12-18
Start date
2020-12-21
Completion date
Unknown
Last updated
2021-03-01

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

Conditions

Gastric cancer

Interventions

Gold Standard:Pathological results
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endoscopy

Sponsors

Beijing Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Subjects who agree to participate in the competition; 2. Subjects with more than one year's experience of independent endoscopy had accumulated more than 2000 endoscopy operations; 3. Subjects who can do colouring magnifying gastroscope in the original unit; 4. We have independently used the staining magnifying gastroscope for endoscopic diagnosis of the nature of the lesions.

Exclusion criteria

Exclusion criteria: 1. Subjects who failed to sign informed consent; 2. The researchers think that the subjects are not suitable to participate in other situations of this study.

Design outcomes

Primary

MeasureTime frame
Sensitivity;

Secondary

MeasureTime frame
Specificity;Accuracy;

Countries

China

Contacts

Public ContactHonggang Yu

Renmin Hospital of Wuhan University

yuhonggang1968@163.com+86 13871281899

Outcome results

None listed

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