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Artificial intelligence–assisted endoscopic intraoperative diagnosis system for diagnosing different types of colorectal polyps

Artificial intelligence–assisted endoscopic intraoperative diagnosis system for diagnosing different types of colorectal polyps

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114433
Enrollment
Unknown
Registered
2025-12-11
Start date
2026-01-01
Completion date
Unknown
Last updated
2025-12-15

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

Conditions

Colorectal polyps

Interventions

Gold Standard:Pathological results
Index test:Evaluation of the ability of artificial intelligence to identify the nature of polyps

Sponsors

Lishui Central Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Undergo colonoscopy for screening, surveillance, or symptoms (e.g., bloody stools, diarrhea). 2.At least one colorectal polyp was found on examination. 3.They voluntarily participated in this study and signed an informed consent form.

Exclusion criteria

Exclusion criteria: 1.Patients had inflammatory bowel disease, hereditary polyposis syndrome. 2.Patients had a history of colorectal cancer or colorectal surgery. 3.Poor bowel preparation (Boston score = 6 or BBPS score = 2 for any segment). 4.Pregnant or lactating women. Other circumstances considered inappropriate by the investigator to participate in this study. 5.Refusal to participate or inability to provide informed consent.

Design outcomes

Primary

MeasureTime frame
Sensitivity of polyp detection;Accuracy;

Secondary

MeasureTime frame
Specificity;

Countries

China

Contacts

Public ContactJianbo Wang

Lishui Central Hospital

45373518@qq.com+86 578 2285346

Outcome results

None listed

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