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Application of AI-assisted endoscopic diagnosis system for intestinal ulcerative diseases

Application of AI-assisted endoscopic diagnosis system for intestinal ulcerative diseases

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300073620
Enrollment
Unknown
Registered
2023-07-17
Start date
2023-03-01
Completion date
Unknown
Last updated
2023-07-25

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

Conditions

Crohn's disease, ulcerative colitis, intestinal tuberculosis, colon Behcet's disease, and intestinal lymphoma

Interventions

Gold Standard:Crohn's Disease: Consensus opinion on the diagnosis and treatment of inflammatory bowel disease
Ulcerative colitis: Consensus on the diagnosis and treatment of inflammatory bowel disease
Intestinal lymphoma: histopathology
Intestinal tuberculosis: ? Evidence of caseous necrotizing granuloma in the intestinal wall or mesenteric lymph
Index test:Artificial intelligence diagnostic model

Sponsors

The Affiliated Hospital of Qingdao University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Confirmed cases according to the corresponding diagnosis and treatment guidelines and consensus opinions of each disease; 2. Complete medical records, including general clinical data, histopathological data, endoscopic pictures, etc.; 3. Intestinal ulcerative lesions were found by colonoscopy; 4. Pathological biopsy was taken from the lesion site of the intestinal ulcer.

Exclusion criteria

Exclusion criteria: 1. A history of colon cancer; 2. Previous history of intestinal surgery; 3. Incomplete clinical, pathological, and endoscopic picture data; 4. Other underlying severe diseases.

Design outcomes

Primary

MeasureTime frame
Accuracy of diagnosis;

Secondary

MeasureTime frame
sensitivity;specificity;Positive predicative value , PPV;Negative predictive value , NPV;

Countries

China

Contacts

Public ContactXiaoyu Li

The Affiliated Hospital of Qingdao University

lixiaoyu05@163.com+86 178 5329 9218

Outcome results

None listed

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