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Discrimination of DILI and AIH by Artificial Intelligence

NCT05532345 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2583

Last updated 2023-07-21

No results posted yet for this study

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

Conditions

  • Drug-induced Liver Injury
  • Autoimmune Hepatitis

Sponsors & Collaborators

  • Beijing Friendship Hospital

    lead OTHER

Principal Investigators

  • Xinyan Zhao, Dr. · Beijing Friendship Hospital

  • Ying Sun, Dr. · The Fifth Medical Department of the PLA

  • Jing Zhang, Dr. · Capital Medical University Affiliated Beijing You'an Hospital

  • Jia Li, Dr. · Tianjin Second People's Hospital

  • Liang Wang, Dr. · Lanzhou University Affiliated Second Hospital

  • Xiaoli Hu, Dr. · Heilongjiang provincial hospital

  • Jingshou Chen, Dr. · The First Affiliated Hospital of Xiamen University

  • Feng Guo, Dr. · Xinjiang Uygur Autonomous Region Hospital of Traditional Chinese Medicine

  • Pingying Li, Dr. · Qinghai People's Hospital

  • Qiuju Tian, Dr. · The Affiliated Hospital of Qingdao University

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-07-01
Primary Completion
2023-05-31
Completion
2023-05-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05532345 on ClinicalTrials.gov