肺炎
2019年冠状病毒病(COVID-19)
计算机断层摄影术
病毒性肺炎
重症监护医学
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
冠状病毒
放射科
生物
医学
病理
内科学
疾病
传染病(医学专业)
作者
Kang Zhang,Xiaohong Liu,Jun Shen,Zhihuan Li,Ye Sang,Xingwang Wu,Yunfei Zha,Wenhua Liang,Chengdi Wang,Ke Wang,Linsen Ye,Ming Gao,Zhongguo Zhou,Liang Li,Jin Wang,Zehong Yang,Huimin Cai,Jie Xu,Lei Yang,Wenjia Cai
出处
期刊:Cell
[Cell Press]
日期:2020-05-04
卷期号:181 (6): 1423-1433.e11
被引量:826
标识
DOI:10.1016/j.cell.2020.04.045
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI