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a study of artificial intelligence-aided diagnosis system of autoimmune liver disease

a study of artificial intelligence-aided diagnosis system of autoimmune liver disease based on multi-center pathological phenotype data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400094887
Enrollment
Unknown
Registered
2024-12-30
Start date
2025-01-01
Completion date
Unknown
Last updated
2025-01-06

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

Conditions

Autoimmune liver disease

Interventions

Gold Standard:According to the histological standard of AILD, five experienced liver pathologists assessed that the diagnostic opinions with the same opinion or more than 4/5 were the diagnostic gold
Index test:The CLAM algorithm based on the instantiated learning algorithm was used to intelligently analyze and make preliminary diagnosis of digital pathological images. It mainly includes two steps

Sponsors

The First Affiliated Hospital of Army Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.After liver biopsy; 2.One of the three subtypes of AILD (AIH\PBC\PSC) or overlap syndrome (that is, the above two or more diseases coexist); 3.Complete clinical background information, complete clinical data and imaging data, including laboratory test results, serological examination results, liver histological examination results, ultrasound and CT imaging data, etc.

Exclusion criteria

Exclusion criteria: 1.Patients with viral hepatitis, drug-induced liver injury, poisoning, hereditary liver disease and metabolic liver disease; 2.Severe dysfunction of heart, lung, kidney and other important organs; 3.Pregnant or lactating women; 4.The patient's case information is incomplete; 5.Other circumstances that the researcher thinks are not suitable for participating in the study.

Design outcomes

Primary

MeasureTime frame
true positive rate;false negative rate;false positive rate;Subject operating curve and area under the curve;

Secondary

MeasureTime frame
diagnostic speed;

Countries

China

Contacts

Public ContactWu Feng

The First Affiliated Hospital of Army Medical University

12682363@qq.com+86 23 68766642

Outcome results

None listed

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