About: Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements and Prognosis of COVID-19 Pneumonia Using Computed Tomography

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About: Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements and Prognosis of COVID-19 Pneumonia Using Computed Tomography Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements and Prognosis of COVID-19 Pneumonia Using Computed Tomography
Creator	Zhang, Xuan Chen, Ting Wang, Li Wang, Ke Zhang, Wei Liu, Xiaohong Yang, Lei Shen, Jun Li, Liang Xu, Jie Wang, Jin Wu, Tao Zhou, M Wang, Guangyu Li, Z Wang, L Wang, X Li, J Gao, Ming Zhou, Yong Li, T Cai, Wenjia Zhang, L Li, Jiaming Cai, Z Chen, Y Gao, L Jiang, W Lau, Yiu-Nam Li, W Li, Weimin Liang, Y Lin, M Liu, X Lu, L Wang, C Wang, H Wang, W Wu, J Yang, J Zhang, K Zhang, S Wu, Y Xu, W Cai, L Liang, Liang Zhang, Kang He, Jianxing Jiang, Shanping Kang, Wei Liang, Wenhua Liang, C Wang, Chengdi Wu, L Wu, Haiying Wu, W Zheng, S Lau, Nam Yiu, Johnson Cai, Huimin Cha, X Cha, Yunfei Deng, Ruiyun Deng, T Fok, J Fok, Manson Li, Oulan Li, Zhihuan Lin, Tianxin Lu, Liu Sang, Ye Sang, Z Wang, Winston Wu, Shaoxu Wu, Xingwang Xu, Wenqin Yang, Zhizhong Ye, K Ye, Linsen Zhang, Charlotte Zhang, O Zheng, Lianghong Zhou, K Zhou, Zhongguo
source	Elsevier; Medline; PMC
abstract	Summary Many COVID-19 patients infected by SARS-CoV-2 virus develop pneumonia (called novel coronavirus pneumonia, NCP) and rapidly progress to respiratory failure. However, rapid diagnosis and identification of high-risk patients for early intervention are challenging. Using a large computed Tomography (CT) database from 4,154 patients, we developed an AI system that can diagnose NCP and differentiate it from other common pneumonia and normal controls. The AI system can assist radiologists and physicians in performing a quick diagnosis especially when the health system is overloaded. Significantly, our AI system identified important clinical markers that correlated with the NCP lesion properties. Together with the clinical data, our AI system was able to provide accurate clinical prognosis that can aid clinicians to consider appropriate early clinical management and allocate resources appropriately. We have made this AI system available globally to assist the clinicians to combat COVID-19.
has issue date	2020-05-04(xsd:dateTime)
bibo:doi	10.1016/j.cell.2020.04.045
bibo:pmid	32416069
has license	els-covid
sha1sum (hex)	e7741fed9483bc46c587cdfff414d435b1799dab
schema:url	https://doi.org/10.1016/j.cell.2020.04.045
resource representing a document's title	Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements and Prognosis of COVID-19 Pneumonia Using Computed Tomography
has PubMed Central identifier	PMC7196900
has PubMed identifier	32416069

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