Faculty of Medicine, Macau University of Science and Technology, Macau, China.
Department of Computer Science and Technology & BNRist, Tsinghua University, Beijing, China.
Cell. 2020 Jun 11;181(6):1423-1433.e11. doi: 10.1016/j.cell.2020.04.045. Epub 2020 May 4.
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.
许多感染 SARS-CoV-2 病毒的 COVID-19 患者会发展为肺炎(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具有挑战性。我们使用来自 3777 名患者的大型计算机断层扫描(CT)数据库,开发了一种人工智能系统,可以诊断 NCP,并将其与其他常见肺炎和正常对照区分开来。该人工智能系统可以协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运转时。重要的是,我们的人工智能系统确定了与 NCP 病变特征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,并合理分配资源。我们已经向全球提供了这个人工智能系统,以帮助临床医生对抗 COVID-19。