Peer-Reviewed Publication
Mayo Clin Proc Digit Health2026;4(1):100338.March 1, 2026Journal Article
Computer-Aided Analysis of Photographed Chest X-Ray Films Performs Well Compared With Trained Radiologists.
Zerubabel Desita1, Temesgen Tadesse1, Anders Solitander Bohlbro2,3, Armando Sifna2, Hikma Fekadu4, Segenet Bizuneh4, Sruti Sridhar5, Dennis Robert5, Manoj Tadepalli5, Christian Wejse2,3,6, Thomas Schön7,8, Frauke Rudolf2,3
1Department of Radiology, College of Medicine and Health Science, University of Gondar, Ethiopia.
2Bandim Health Project, Bissau, Guinea-Bissau.
3Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
4Department of Internal Medicine, College of Medicine and Health Science, University of Gondar, Ethiopia.
5Qure.ai, Mumbai, India.
6Department of Clinical Medicine, Infectious Diseases, Aarhus University, Aarhus, Denmark.
7Department of Microbiology and Infectious Medicine, Kalmar County Hospital, Kalmar, Sweden.
8Division of Infection and Inflammation, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Abstract
OBJECTIVE: To assess whether computer-aided detection (CAD) chest X-ray (CXR) software may aid physicians in low-resource, high tuberculosis (TB) endemic settings where radiologists are scarce.
PATIENTS AND METHODS: A retrospective pilot study was conducted on CXR films taken between January 1, 2017, and March 30, 2018, in Guinea-Bissau and Ethiopia to compare the interpretation of CXRs regarding…
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