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RECRUITING
NCT06506318
A Joint Model Based on Deep Learning to Predict Multidrug-resistant Klebsiella Pneumoniae Liver Abscess
Sponsor: Shengjing Hospital
View on ClinicalTrials.gov
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.
Official title: Combining Image-clinical Model Based on Deep Learning and Radiomics to Predict Multidrug-resistant Klebsiella Pneumoniae Liver Abscess
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
550
Start Date
2024-01-01
Completion Date
2025-03-01
Last Updated
2024-07-17
Healthy Volunteers
No
Conditions
Locations (1)
Shengjing hospital of China medical university
Shenyang, Liaoning, China