Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation

Chest X-ray (CXR) imaging plays a pivotal role in the diagnosis and prognosis of viral pneumonia. However, distinguishing COVID-19 CXRs from other viral infections remains challenging due to highly similar radiographic features. Most existing deep learning (DL) models focus on differentiating COVID-...

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Veröffentlicht in:	PloS one Jg. 20; H. 7; S. e0328061
Hauptverfasser:	Enshaei, Nastaran, Mohammadi, Arash, Naderkhani, Farnoosh, Daneman, Nick, Abu Mughli, Rawan, Anconina, Reut, Berger, Ferco H., Kozak, Robert Andrew, Mubareka, Samira, Villanueva Campos, Ana Maria, Narang, Keshav, Vivekanandan, Thayalasuthan, Chan, Adrienne Kit, Lam, Philip, Andany, Nisha, Oikonomou, Anastasia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 29.07.2025 Public Library of Science (PLoS)
Schlagworte:	Accuracy Adult Aged Automation Biology and Life Sciences Chest Classification Community-Acquired Infections - diagnostic imaging Comparative analysis COVID-19 COVID-19 - diagnosis COVID-19 - diagnostic imaging Datasets Deep Learning Development and progression Diagnosis Diagnosis, Differential Disease transmission Female Health aspects Humans Infections Machine learning Male Medicine and Health Sciences Methods Middle Aged Pandemics People and Places Physical Sciences Pneumonia Pneumonia, Viral - diagnosis Pneumonia, Viral - diagnostic imaging Radiography, Thoracic - methods Research and Analysis Methods SARS-CoV-2 - isolation & purification Severe acute respiratory syndrome coronavirus 2 Severity of Illness Index Subgroups Technology application Viral infections Viral pneumonia Canada
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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