TCTR20200925003
Recruiting
未知
Detection of abnormality in chest X-rays using deep learning
Faculty of Medicine, Khon Kaen University0 sites1,000 target enrollmentSeptember 25, 2020
Overview
- Phase
- 未知
- Intervention
- Not specified
- Conditions
- CXRs images with and without definite diagnosis.
- Sponsor
- Faculty of Medicine, Khon Kaen University
- Enrollment
- 1000
- Status
- Recruiting
- Last Updated
- last year
Overview
Brief Summary
No summary available.
Investigators
Eligibility Criteria
Inclusion Criteria
- •CXR with pulmonary and cardiac diseases.
- •CXR without abnormality.
Exclusion Criteria
- •No image in local PACS
Outcomes
Primary Outcomes
Not specified
Similar Trials
Completed
Not Applicable
Calculation Of Lung Inflation in NeonatesACTRN12623000903684Murdoch Childrens Research institute218
Recruiting
Not Applicable
It is necessary to take a chest X-ray after removing the chest tubePneumothorax.Primary spontaneous pneumothoraxJ93.11IRCT20190618043934N20Birjand University of Medical Sciences27
Recruiting
Not Applicable
Sensitivity of chest X-ray in patients with suspected acute thoracic diseases in emergency department: Randomized controlled trial to assess efficiency of artificial intelligence-based computer-aided detection systemDiseases of the respiratory systemKCT0005007Seoul National University Hospital4,862
Not yet recruiting
Phase 4
Improvement of detection of clinically significant prostate cancer by combination of molecular urine markers and multiparametric MRI of the prostateC61Malignant neoplasm of prostateDRKS00019892Klinik für Urologie Uniklinik Köln640
Not yet recruiting
Not Applicable
Diagnostic accuracy of chest X-ray, CT, and interferon-gamma release assay to detect the miliary tuberculosis: systematic review and meta-analysisMilliary tuberculosisJPRN-UMIN000041434Yokohama Municipal Citizen's Hospital