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A Joint Model Based on Deep Learning to Predict Multidrug-resistant Klebsiella Pneumoniae Liver Abscess

NCT06506318 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 550

Last updated 2024-07-17

No results posted yet for this study

Summary

The goal of this observational study is to train a deep learning-based model to predict multidrug-resistant Klebsiella pneumoniae liver abscess and evaluate it on a multi-center database.

Conditions

  • Liver Abscess

Sponsors & Collaborators

  • The First Affiliated Hospital of China University of Science and Technology (Anhui Provincial)

    collaborator OTHER

  • Guilin Medical University, China

    collaborator OTHER

  • Hebei General Hospital

    collaborator OTHER

  • Xijing Hospital

    collaborator OTHER

  • Hebei Medical University Third Hospital

    collaborator OTHER

  • The First Affiliated Hospital of Dalian Medical University

    collaborator OTHER

  • The People's Hospital of Liaoning Province

    collaborator OTHER

  • Fourth People's Hospital of Shenyang

    collaborator OTHER

  • Sir Run Run Shaw Hospital

    collaborator OTHER

  • Shengjing Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-01-01
Primary Completion
2024-12-30
Completion
2025-03-01

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 NCT06506318 on ClinicalTrials.gov