个人中心| | 帮助
高级检索
当前位置： 首页 > 详情页

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

| 导出 | |

文献详情

资源类型：
WOS体系：
Pubmed体系：

收录情况： ◇ SCIE ◇ 自然指数

作者：
Zhang, Kang[1] ; Liu, Xiaohong[2] ; Shen, Jun[3] ; Li, Zhihuan[4,5] ; Sang, Ye[6] ; Wu, Xingwang[7] ; Zha, Yunfei[8] ; Liang, Wenhua[9] ; Wang, Chengdi[4] ; Wang, Ke[2] ; Ye, Linsen[10] ; Gao, Ming[3] ; Zhou, Zhongguo[1] ; Li, Liang[8] ; Wang, Jin[10] ; Yang, Zehong[3] ; Cai, Huimin[5] ; Xu, Jie[1] ; Yang, Lei[5] ; Cai, Wenjia[5] ; Xu, Wenqin[1] ; Wu, Shaoxu[3] ; Zhang, Wei[3] ; Jiang, Shanping[3] ; Zheng, Lianghong[5.11] ; Zhang, Xuan[2] ; Wang, Li[8] ; Lu, Liu[5,11] ; Li, Jiaming[5,11] ; Yin, Haiping[12] ; Wang, Winston[1] ; Li, Oulan[5] ; Zhang, Charlotte[5] ; Liang, Liang[6] ; Wu, Tao[6] ; Deng, Ruiyun[1,11] ; Wei, Kang[1] ; Zhou, Yong[1] ; Chen, Ting[2] ; Lau, Johnson Yiu-Nam[13] ; Fok, Manson[1] ; He, Jianxing[9] ; Lin, Tianxin[3] ; Li, Weimin[4] ; Wang, Guangyu[2] ;
机构： [1]Faculty of Medicine, Macau University of Science and Technology, Macau, China [2]Department of Computer Science and Technology & BNRist, Tsinghua University, Beijing, China [3]Departments of Urology, Radiology, Emergency Medicine, and Respiratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China [4]Center for Translational Innovations and Department of Respiratory and Critical Care Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China [5]Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China [6]The First College of Clinical Medical Science, China Three Gorges University, Yichang, China [7]Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China [8]Department of Radiology, Department of Infection Prevention and Control, Renmin Hospital, Wuhan University, Wuhan, China [9]Department of Thoracic Surgery/Oncology, the First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory and National Clinical Research Center for Respiratory Disease, Guangzhou, China [10]Department of Radiology, and Liver Disease Center, Sun Yat-Sen Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China [11]Guangzhou Kangrui AI Technology Co. and Guangzhou HuiBoRui Biological Pharmaceutical Technology Co., Ltd, Guangzhou, China [12]The First People’s Hospital of Yunnan Province, Kunmin, China [13]Department of Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hong Kong, China
出处：
DOI： 10.1016/j.cell.2020.04.045
ISSN：

摘要：
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 3,777 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.

基金：
National Key Research and Development Program of China [2019YFB1404804]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61906105, 61872218, 61721003, 61673241, 81871890, 91859203]; Macao FDCT grant [0035/2020/A]; Guangzhou Regenerative Medicine and Health Guangdong Laboratory [2020GZR110306001]; Kunmin Science and Technology grant [2020-1-H003]; Special Item for Prevention and Control of COVID-19 Science and Technology, Guangdong Province; Tencent Charity Foundation; Sun Yat-sen University for novel coronavirus, The Key Areas Research and Development Program of Guangdong [2018B010109006]; Guangdong Provincial Clinical Research Center for Urinary Diseases, Recruitment Program of Leading Talent in Guangdong Province [2016LJ06Y375]

基金编号： 2019YFB1404804 61906105 61872218 61721003 61673241 81871890 91859203 0035/2020/A 2020GZR110306001 2020-1-H003 2018B010109006 2016LJ06Y375

语种：
外文
高被引：
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2020]版：
大类 | 1 区 生物
小类 | 1 区 生化与分子生物学 1 区 细胞生物学
最新[2023]版：
大类 | 1 区 生物学
小类 | 1 区 生化与分子生物学 1 区 细胞生物学
JCR分区：
出版当年[2019]版：
Q1 CELL BIOLOGY Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
最新[2023]版：
Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Q1 CELL BIOLOGY

影响因子： 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

第一作者：
第一作者机构： [1]Faculty of Medicine, Macau University of Science and Technology, Macau, China
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Zhang Kang,Liu Xiaohong,Shen Jun,et al.Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography[J].CELL.2020,181(6):1423-+.doi:10.1016/j.cell.2020.04.045.
APA：
Zhang, Kang,Liu, Xiaohong,Shen, Jun,Li, Zhihuan,Sang, Ye...&Wang, Guangyu.(2020).Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography.CELL,181,(6)
MLA：
Zhang, Kang,et al."Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography".CELL 181..6(2020):1423-+

资源点击量：81493 今日访问量：0 总访问量：676 更新日期：2024-12-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 云南省第一人民医院 技术支持：重庆聚合科技有限公司 地址：云南省昆明市西山区金碧路157号