RecruitingNCT06506318
A Joint Model Based on Deep Learning to Predict Multidrug-resistant Klebsiella Pneumoniae Liver Abscess
Combining Image-clinical Model Based on Deep Learning and Radiomics to Predict Multidrug-resistant Klebsiella Pneumoniae Liver Abscess
Sponsor
Shengjing Hospital
Enrollment
550 participants
Start Date
Jan 1, 2024
Study Type
OBSERVATIONAL
Conditions
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.
Eligibility
Min Age: 18 Years
Inclusion Criteria2
- Patients diagnosed as pyogenic liver abscess and was proved by surgery or interventional process.
- Patients had accepted abdominal enhance CT scans before surgery or interventional process.
Exclusion Criteria1
- Patients diagnosed with other types of liver abscess such as amoeba.
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Locations(1)
View Full Details on ClinicalTrials.gov
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NCT06506318