Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study

BACKGROUND: Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that might be valuable in the prognostication of patients with COVID-19. We aimed to develop and evaluate an artificial intelligence system using chest x-rays and clinical data to predict disease severity and prog...

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Detalles Bibliográficos
Autores principales: Jiao, Zhicheng, Choi, Ji Whae, Halsey, Kasey, Tran, Thi My Linh, Hsieh, Ben, Wang, Dongcui, Eweje, Feyisope, Wang, Robin, Chang, Ken, Wu, Jing, Collins, Scott A, Yi, Thomas Y, Delworth, Andrew T, Liu, Tao, Healey, Terrance T, Lu, Shaolei, Wang, Jianxin, Feng, Xue, Atalay, Michael K, Yang, Li, Feldman, Michael, Zhang, Paul J L, Liao, Wei-Hua, Fan, Yong, Bai, Harrison X
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2021
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990487/
https://www.ncbi.nlm.nih.gov/pubmed/33773969
http://dx.doi.org/10.1016/S2589-7500(21)00039-X

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990487/
https://www.ncbi.nlm.nih.gov/pubmed/33773969
http://dx.doi.org/10.1016/S2589-7500(21)00039-X

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