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Analysis of gastric varices based on deep learning

The establishment and verification of artificial intelligence rating system for gastric varices

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200065160
Enrollment
Unknown
Registered
2022-10-29
Start date
2022-11-01
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

Gastric varices

Interventions

Gold Standard:experts group judgment
Index test: artificial intelligence rating system for gastric varices

Sponsors

The Second Hospital of Hebei Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Inclusion criteria 1) The endoscopic images of gastric varices during the period from 2017 to 2022 will be included. All the images are collected from the endoscopy room of the Department of Gastroenterology, the Second Hospital of Hebei Medical University. 2) The patient's age should be 18 years old and above.

Exclusion criteria

Exclusion criteria: Exclusion criteria 1) Remove duplicates, blurs, active bleeding, chromoendoscopy, and NBI pictures.

Design outcomes

Primary

MeasureTime frame
artificial intelligence rating system for gastric varices;SEN, SPE, ACC, AUC of ROC;Kappa value;—

Secondary

MeasureTime frame
diagnosis time;—

Countries

China

Contacts

Public ContactFeng Zhijie

The Second Hospital of Hebei Medical University

zhijiefeng2005@163.com15803210958

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 9, 2026