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A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records
PURPOSE: As of August 30th, there were in total 25.1 million confirmed cases and 845 thousand deaths caused by coronavirus disease of 2019 (COVID-19) worldwide. With overwhelming demands on medical resources, patient stratification based on their risks is essential. In this multi-center study, we bu...
Autores principales: | Gong, Kuang, Wu, Dufan, Arru, Chiara Daniela, Homayounieh, Fatemeh, Neumark, Nir, Guan, Jiahui, Buch, Varun, Kim, Kyungsang, Bizzo, Bernardo Canedo, Ren, Hui, Tak, Won Young, Park, Soo Young, Lee, Yu Rim, Kang, Min Kyu, Park, Jung Gil, Carriero, Alessandro, Saba, Luca, Masjedi, Mahsa, Talari, Hamidreza, Babaei, Rosa, Mobin, Hadi Karimi, Ebrahimian, Shadi, Guo, Ning, Digumarthy, Subba R., Dayan, Ittai, Kalra, Mannudeep K., Li, Quanzheng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7863774/ https://www.ncbi.nlm.nih.gov/pubmed/33846041 http://dx.doi.org/10.1016/j.ejrad.2021.109583 |
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