Diagnostic accuracy of three computer-aided detection systems for detecting pulmonary tuberculosis on chest radiography when used for screening: Analysis of an international, multicenter migrants screening study
Work
Year: 2023
Type: article
Abstract: The aim of this study was to independently evaluate the diagnostic accuracy of three artificial intelligence (AI)-based computer aided detection (CAD) systems for detecting pulmonary tuberculosis (TB)... more
Source: PLOS Global Public Health
Authors Sifrash Meseret Gelaw, Sandra V. Kik, Morten Rühwald, Stefano Ongarello, Tesfa Semagne Egzertegegne +8 more
Institutions World Health Organization - Philippines, Foundation for Innovative New Diagnostics, International Organization for Migration, Centers for Disease Control and Prevention, University Hospital Heidelberg +1 more
Cites: 15
Cited by: 22
Related to: 10
FWCI: 8.154
Citation percentile (by year/subfield): 100
Topic: COVID-19 diagnosis using AI
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Sustainable Development Goal Reduced inequalities
Open Access status: gold
APC paid (est): $2,100
Grant ID PDP15CH14