A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data

Abstract The COVID-19 pandemic has worldwide individual and socioeconomic consequences. Chest computed tomography has been found to support diagnostics and disease monitoring. A standardized approach to generate, collect, analyze, and share clinical and imaging information in the highest quality pos...

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Autores principales:	Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, Hannes Goetz Kenngott, Matthias Alexander Fink, Constantin Seibold, Ricarda Elisabeth Fischbach, Kai Schlamp, Carlos Alberto Velandia, Philipp Fervers, Felix Doellinger, Anna Luger, Saif Afat, Uta Merle, Markus K. Diener, Philippe L. Pereira, Tobias Penzkofer, Thorsten Persigehl, Ahmed Othman, Claus Peter Heußel, Matthias Baumhauer, Gerlig Widmann, Konstantinos Stathopoulos, Bernd Hamm, Thomas J. Vogl, Konstantin Nikolaou, Hans-Ulrich Kauczor, Jens Kleesiek
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/951bb53504434e748b68b1581a67d86c
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A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data

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