Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

In some contexts, rapid detection of COVID-19 from CT scans can be crucial for optimal patient management. Here, the authors present a Deep Learning system for this task with multi-center data, human reader comparison and age stratified results.

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Autores principales:	Cheng Jin, Weixiang Chen, Yukun Cao, Zhanwei Xu, Zimeng Tan, Xin Zhang, Lei Deng, Chuansheng Zheng, Jie Zhou, Heshui Shi, Jianjiang Feng
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d4872dc51bfb45c682ed26ba2c2d2654
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spelling	oai:doaj.org-article:d4872dc51bfb45c682ed26ba2c2d26542021-12-02T18:01:50ZDevelopment and evaluation of an artificial intelligence system for COVID-19 diagnosis10.1038/s41467-020-18685-12041-1723https://doaj.org/article/d4872dc51bfb45c682ed26ba2c2d26542020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18685-1https://doaj.org/toc/2041-1723In some contexts, rapid detection of COVID-19 from CT scans can be crucial for optimal patient management. Here, the authors present a Deep Learning system for this task with multi-center data, human reader comparison and age stratified results.Cheng JinWeixiang ChenYukun CaoZhanwei XuZimeng TanXin ZhangLei DengChuansheng ZhengJie ZhouHeshui ShiJianjiang FengNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Cheng Jin Weixiang Chen Yukun Cao Zhanwei Xu Zimeng Tan Xin Zhang Lei Deng Chuansheng Zheng Jie Zhou Heshui Shi Jianjiang Feng Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
description	In some contexts, rapid detection of COVID-19 from CT scans can be crucial for optimal patient management. Here, the authors present a Deep Learning system for this task with multi-center data, human reader comparison and age stratified results.
format	article
author	Cheng Jin Weixiang Chen Yukun Cao Zhanwei Xu Zimeng Tan Xin Zhang Lei Deng Chuansheng Zheng Jie Zhou Heshui Shi Jianjiang Feng
author_facet	Cheng Jin Weixiang Chen Yukun Cao Zhanwei Xu Zimeng Tan Xin Zhang Lei Deng Chuansheng Zheng Jie Zhou Heshui Shi Jianjiang Feng
author_sort	Cheng Jin
title	Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
title_short	Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
title_full	Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
title_fullStr	Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
title_full_unstemmed	Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
title_sort	development and evaluation of an artificial intelligence system for covid-19 diagnosis
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/d4872dc51bfb45c682ed26ba2c2d2654
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Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

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