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Construction and application of artificial intelligence recognition system for digestive tract lesions based on artificial intelligence algorithm

Construction and application of artificial intelligence recognition system for digestive tract lesions based on artificial intelligence algorithm

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400080815
Enrollment
Unknown
Registered
2024-02-07
Start date
2024-03-01
Completion date
Unknown
Last updated
2024-02-11

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

Conditions

Digestive tract lesions

Interventions

Gold Standard:histopathologic slide
Index test:Endoscopic picture

Sponsors

Shunde Hospital of Southern Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: (1) Pathological diagnosis was colorectal polyp; Colorectal adenoma; Colorectal cancer; (2) Pathological diagnosis of gastric polyp; Gastric ulcer; Gastric cancer; (3) Age 18-65.

Exclusion criteria

Exclusion criteria: (1) Colorectal polyps, colorectal adenomas, and colorectal cancers were biopsied without a definite pathological diagnosis or report; (2) Gastric polyps, gastric ulcers, and gastric cancer were biopsied without definite pathological diagnosis or pathological report; (3) Age under 18 or over 65 years old.

Design outcomes

Primary

MeasureTime frame
colorectal cancer;gastric cancer;Specificity;Sensitivity;—

Secondary

MeasureTime frame
colorectal adenomas;Colorectal polyp;gastric ulcer;gastric polyps;Positive predictive value;Negative predictive value;—

Countries

China

Contacts

Public ContactShunhui He

Shunde Hospital of Southern Medical University

Heshh@126.com+86 137 9402 0101

Outcome results

None listed

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