AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study

OBJECTIVES: Differentiation between COVID-19 and community-acquired pneumonia (CAP) in computed tomography (CT) is a task that can be performed by human radiologists and artificial intelligence (AI). The present study aims to (1) develop an AI algorithm for differentiating COVID-19 from CAP and (2)...

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Detalles Bibliográficos
Autores principales: Meng, Fanyang, Kottlors, Jonathan, Shahzad, Rahil, Liu, Haifeng, Fervers, Philipp, Jin, Yinhua, Rinneburger, Miriam, Le, Dou, Weisthoff, Mathilda, Liu, Wenyun, Ni, Mengzhe, Sun, Ye, An, Liying, Huai, Xiaochen, Móré, Dorottya, Giannakis, Athanasios, Kaltenborn, Isabel, Bucher, Andreas, Maintz, David, Zhang, Lei, Thiele, Frank, Li, Mingyang, Perkuhn, Michael, Zhang, Huimao, Persigehl, Thorsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755771/
https://www.ncbi.nlm.nih.gov/pubmed/36525088
http://dx.doi.org/10.1007/s00330-022-09335-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755771/
https://www.ncbi.nlm.nih.gov/pubmed/36525088
http://dx.doi.org/10.1007/s00330-022-09335-9

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