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Study on AI-Based In Situ Recognition Technology for Multiple Lesions in Endoscopy Procedures

Study on AI-Based In Situ Recognition Technology for Multiple Lesions in Endoscopy Procedures

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500102357
Enrollment
Unknown
Registered
2025-05-13
Start date
2025-06-01
Completion date
Unknown
Last updated
2025-05-19

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

Conditions

Colorectal cancer

Interventions

Gold Standard:Pathological diagnosis is the gold standard
if there is no pathological diagnosis, then the endoscopic diagnosis is the gold standard.
Index test:AI-Based In Situ Recognition Technology

Sponsors

Beijing Friendship Hospital ,Capital Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: (1) Individuals undergoing colonoscopy at the Endoscopy Center of Beijing Friendship Hospital affiliated with Capital Medical University between December 2018 and 2024; (2) Colonoscopy or pathological examination results indicate normal, colorectal polyps/adenomas, early colorectal cancer, colonic diverticula, colonic melanosis, inflammatory bowel disease, submucosal lesions, or colonic capillary ectasia.

Exclusion criteria

Exclusion criteria: 1.Cases with unclear/non-diagnostic images; 2.Cases presenting complex or atypical lesions.

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;—

Countries

China

Contacts

Public ContactQian Zhang

Beijing Friendship Hospital ,Capital Medical University

zhangqian200104@163.com+86 10 63139352

Outcome results

None listed

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