Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study

We predict mechanical ventilation requirement and mortality using computational modeling of chest radiographs (CXRs) for coronavirus disease 2019 (COVID-19) patients. This two-center, retrospective study analyzed 530 deidentified CXRs from 515 COVID-19 patients treated at Stony Brook University Hosp...

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Detalhes bibliográficos
Publicado no:ArXiv
Main Authors: Bae, Joseph, Kapse, Saarthak, Singh, Gagandeep, Gattu, Rishabh, Ali, Syed, Shah, Neal, Marshall, Colin, Pierce, Jonathan, Phatak, Tej, Gupta, Amit, Green, Jeremy, Madan, Nikhil, Prasanna, Prateek
Formato: Artigo
Idioma:Inglês
Publicado em: Cornell University 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7373136/
https://ncbi.nlm.nih.gov/pubmed/32699815
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