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Research and application of artificial intelligence assisted diagnosis technology for digestive endoscopic imaging of intestinal inflammatory lesions

Research and application of artificial intelligence assisted diagnosis technology for digestive endoscopic imaging of intestinal inflammatory lesions

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100043278
Enrollment
Unknown
Registered
2021-02-09
Start date
2019-02-01
Completion date
Unknown
Last updated
2021-06-07

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

Conditions

Intestinal inflammatory diseases

Interventions

Sponsors

Army Medical Center of PLA
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 85 Years

Inclusion criteria

Inclusion criteria: (1) Indications of intestinal inflammatory lesions; (2) With indications for colonoscopy; (3) Male or female, aged 20-85 years old; (4) No concurrent other serious diseases, and normal communication skills; (5) Sign informed consent and agree to participate in this study.

Exclusion criteria

Exclusion criteria: (1) Not suitable for colonoscopy; (2) Poor quality of bowel preparation; (3) Those who are difficult to complete follow-up, or various factors that affect compliance.

Design outcomes

Primary

MeasureTime frame
Lesion detection rate;Colonic lesion detection sensitivity;Detection accuracy of colonic lesions;AUC;

Secondary

MeasureTime frame
detection time;

Countries

China

Contacts

Public ContactYanling Wei

Army Medical Center of PLA

lingzi016@126.com+86 15310354666

Outcome results

None listed

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