Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa

Abstract Computer-aided digital chest radiograph interpretation (CAD) can facilitate high-throughput screening for tuberculosis (TB), but its use in population-based active case-finding programs has been limited. In an HIV-endemic area in rural South Africa, we used a CAD algorithm (CAD4TBv5) to int...

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Main Authors:	Jana Fehr, Stefan Konigorski, Stephen Olivier, Resign Gunda, Ashmika Surujdeen, Dickman Gareta, Theresa Smit, Kathy Baisley, Sashen Moodley, Yumna Moosa, Willem Hanekom, Olivier Koole, Thumbi Ndung’u, Deenan Pillay, Alison D. Grant, Mark J. Siedner, Christoph Lippert, Emily B. Wong, the Vukuzazi Team
Format:	article
Language:	EN
Published:	Nature Portfolio 2021
Subjects:	Computer applications to medicine. Medical informatics R858-859.7
Online Access:	https://doaj.org/article/624d734c5cfd44b79ddb5c726f170c9c
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https://doaj.org/article/624d734c5cfd44b79ddb5c726f170c9c

Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa

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