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Research on Liver Fibrosis Screening Based on Large Language Model and Deep Learning Assistance

Research on Liver Fibrosis Screening Based on Large Language Model and Deep Learning Assistance

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500095889
Enrollment
Unknown
Registered
2025-01-15
Start date
2025-02-01
Completion date
Unknown
Last updated
2025-01-27

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

Conditions

Liver Fibrosis

Interventions

Gold Standard:Grading of liver fibrosis according to liver elasticity measurements (elasticity measurements=11 kPa: cirrhosis)
Index test:Detection and diagnosis of deep learning and large language models

Sponsors

The First Affiliated Hospital of Sun Yat-Sen University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients with a history of chronic liver disease or unexplained liver function abnormalities.

Exclusion criteria

Exclusion criteria: 1. Patients under the age of 18 years; 2. Patients with a history of liver transplantation.

Design outcomes

Primary

MeasureTime frame
sensitivity;specificity;—

Secondary

MeasureTime frame
Screening rate;—

Countries

China

Contacts

Public ContactChen Lida

The First Affiliated Hospital of Sun Yat-Sen University

chenlda@mail.sysu.edu.cn+86 20 8776 5183

Outcome results

None listed

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