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Discrimination of DILI and AIH by Artificial Intelligence

Autoimmune Hepatitis Clinical Trial

Official title:
Development and Validation of a Machine Learning Model to Differentiate Drug-induced Liver Injury and Autoimmune Hepatitis

Clinical Trial Summary

A retrospective, multi-center, non-interventional cohort study has been going to explore whether artificial intelligence can discriminate Drug-induced liver injury and Autoimmune hepatitis. A machine learning-based tool will be developed and validated to help clinicians to differentiate between Drug-induced liver injury and Autoimmune hepatitis

Clinical Trial Description

Research Objectives: 1. To develop a machine learning-based model from retrospective data. 2. To validate the machine learning-based model from internal dataset and external datasets nationwide. 3. To setup a website or application based on the above model to discriminate Drug-induced liver injury and Autoimmune hepatitis. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05532345
Study type Observational
Source Beijing Friendship Hospital
Contact
Status Completed
Phase
Start date July 1, 2022
Completion date May 31, 2023
View Details
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