Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
复制标题
临床适用的 AI 系统，利用计算机断层扫描对 COVID-19 肺炎进行准确诊断、定量测量和预后
DOI：
10.1016/j.cell.2020.04.045
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发表时间：
2020-06-11
期刊：
影响因子：
64.5
通讯作者：
Wang, Guangyu
中科院分区：
文献类型：
--
作者：
Zhang, Kang;Liu, Xiaohong;Wang, Guangyu
许多被SARS-CoV-2病毒感染的COVID-19患者发展为肺炎（称为新型冠状病毒肺炎，NCP），并迅速进展为呼吸衰竭。然而，快速诊断和识别高危患者以进行早期干预是一项挑战。利用来自3，777名患者的大型计算机断层扫描（CT）数据库，我们开发了一种AI系统，可以诊断NCP并将其与其他常见肺炎和正常对照区分开来。人工智能系统可以帮助放射科医生和医生进行快速诊断，特别是在医疗系统超负荷的情况下。值得注意的是，我们的AI系统识别了与NCP病变性质相关的重要临床标志物。结合临床数据，我们的人工智能系统能够提供准确的临床预后，帮助临床医生考虑适当的早期临床管理并适当分配资源。我们已在全球范围内提供这一人工智能系统，以协助临床医生抗击COVID-19。
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.