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Application of artificial intelligence assisted system in endoscopic diagnosis of gastroesophageal varices

Application of artificial intelligence assisted system in endoscopic diagnosis of gastroesophageal varices

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500105740
Enrollment
Unknown
Registered
2025-07-09
Start date
2025-07-10
Completion date
Unknown
Last updated
2025-07-14

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

Conditions

Gastroesophageal varices

Interventions

Gold Standard:Endoscopic results
Index test:Performance metrics of AI model

Sponsors

The FIrst Affiliated Hospital, College of Medicine, Zhejiang University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age >=18 years; 2.Verified liver cirrhosis; 3.Gastroesophageal varices detected in gastroscopy, including inpatients and outpatients.

Exclusion criteria

Exclusion criteria: 1.History of gastrointestinal malignancies; 2.History of esophagus or stomach surgery; 3.Poor-quality image datasets due to issues such as defocus, inadequate inflation, blurs, mucus and other factors compromising image clarity.

Design outcomes

Primary

MeasureTime frame
Performance metrics of AI model;—

Countries

China

Contacts

Public ContactYi Chen

The FIrst Affiliated Hospital, College of Medicine, Zhejiang University

yiiic@126.com+86 571 87326532

Outcome results

None listed

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