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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


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

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