An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information

The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert MTB/RIF in Lusaka Zambia

(2014) Monde Muyoyeta et al.   PLoS One

Diagnostic Accuracy of Computer-Aided Detection of Pulmonary Tuberculosis in Chest Radiographs: A Validation Study from Sub-Saharan Africa

(2014) Marianne Breuninger et al.   PLoS One

Tuberculosis screening in high human immunodeficiency virus prevalence settings: turning promise into reality [State of the art series. Active case finding/screening. Number 5 in the series]

(2013) E. L. Corbett et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

Detection of tuberculosis using digital chest radiography: automated reading vs. interpretation by clinical officers

(2013) P. Maduskar et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

Feasibility, accuracy, and clinical effect of point-of-care Xpert MTB/RIF testing for tuberculosis in primary-care settings in Africa: a multicentre, randomised, controlled trial

(2013) Grant Theron et al.   LANCET

Screening Strategies for Tuberculosis Prevalence Surveys: The Value of Chest Radiography and Symptoms

(2012) Anna H. van’t Hoog et al.   PLoS One

High sensitivity of chest radiograph reading by clinical officers in a tuberculosis prevalence survey

(2011) A.H. van't Hoog et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

TBscore: Signs and symptoms from tuberculosis patients in a low-resource setting have predictive value and may be used to assess clinical course

(2008) Christian Wejse et al.   SCANDINAVIAN JOURNAL OF INFECTIOUS DISEASES