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Research on Artificial Intelligence Detection Technology for Abnormal Pathological Structures of Fatty Liver

Research on Artificial Intelligence Detection Technology for Abnormal Pathological Structures of Fatty Liver

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600121276
Enrollment
Unknown
Registered
2026-03-27
Start date
2024-01-30
Completion date
Unknown
Last updated
2026-03-30

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

Conditions

Fatty Liver

Interventions

Observation group:None

Sponsors

The Affiliated Hospital of Xuzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Cases diagnosed with fatty liver disease based on liver biopsy pathology reports; complete clinical data;

Exclusion criteria

Exclusion criteria: The patient has no history of excessive alcohol consumption, no history of viral hepatitis, no history of autoimmune hepatitis, and no history of drug-induced liver injury.

Design outcomes

Primary

MeasureTime frame
ballooning degeneration;—

Countries

China

Contacts

Public ContactZheng Tianlei

The Affiliated Hospital of Xuzhou Medical University

zhengtlee@163.com+86 187 5214 3196

Outcome results

None listed

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