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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Опубликовано в: :NPJ Digit Med
Главные авторы: 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.
Формат: Artigo
Язык:Inglês
Опубликовано: Nature Publishing Group UK 2021
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Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC8115328/
https://ncbi.nlm.nih.gov/pubmed/33980980
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-021-00453-0
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