|

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

RECRUITINGSponsored by Shengjing Hospital
Actively Recruiting
SponsorShengjing Hospital
Started2024-01-01
Est. completion2024-12-30
Eligibility
Age18 Years+
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06506318

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

Age: 18 Years+Healthy volunteers accepted
Inclusion Criteria:

* 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 Criteria:

* Patients diagnosed with other types of liver abscess such as amoeba.

Conditions2

Liver AbscessLiver Disease

Browse More Trials

Liver Disease trials

Trial data from ClinicalTrials.gov. Trial status and eligibility can change — verify directly with the study contact or on ClinicalTrials.gov.

This site does not provide medical advice. Always consult your doctor before considering enrollment in a clinical trial. Learn more on our About page.