An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

During the coronavirus disease 2019 (COVID-19) pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decision-making. We propose a data-driven approach for automatic prediction of deterioration risk using a deep neural network that learns from chest X-ray...

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Detalles Bibliográficos
Autores principales: Shamout, Farah E., Shen, Yiqiu, Wu, Nan, Kaku, Aakash, Park, Jungkyu, Makino, Taro, Jastrzębski, Stanisław, Witowski, Jan, Wang, Duo, Zhang, Ben, Dogra, Siddhant, Cao, Meng, Razavian, Narges, Kudlowitz, David, Azour, Lea, Moore, William, Lui, Yvonne W., Aphinyanaphongs, Yindalon, Fernandez-Granda, Carlos, Geras, Krzysztof J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8115328/
https://www.ncbi.nlm.nih.gov/pubmed/33980980
http://dx.doi.org/10.1038/s41746-021-00453-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8115328/
https://www.ncbi.nlm.nih.gov/pubmed/33980980
http://dx.doi.org/10.1038/s41746-021-00453-0

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