Computed tomography-aided diagnosis of COVID-19

Xiao Chen, Qiuyuan Yang, Haijun He, Caiqiong Wang, Z. Peng, Yingchun Liu, Peiqi Wang, Jialei Wu, Bin Yang
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Abstract

Coronavirus disease (COVID-19) is highly infectious, has spread worldwide, and has a relatively high mortality rate. Early diagnosis and timely isolation are essential to control the spread of COVID-19. Computed tomography (CT) is considered to be an effective tool for the rapid diagnosis of COVID-19 and plays a key role in diagnosis, clinical course monitoring, and the evaluation of treatment outcomes. Artificial intelligence (AI) has emerged as a useful technology for early diagnosis, lesion quantification, and prognosis evaluation in patients with COVID-19. In this review, we discuss the role of CT in the diagnosis of COVID-19, typical CT manifestations of COVID-19 throughout the disease course, differential diagnoses, and the application of AI as a diagnostic and therapeutic tool in this patient population.
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计算机断层扫描辅助诊断COVID-19
冠状病毒病(COVID-19)具有高度传染性,已在全球传播,死亡率相对较高。早期诊断和及时隔离对控制COVID-19的传播至关重要。计算机断层扫描(CT)被认为是快速诊断新冠肺炎的有效工具,在诊断、临床病程监测和治疗效果评估方面发挥着关键作用。人工智能(AI)已成为COVID-19患者早期诊断、病变量化和预后评估的有用技术。本文就CT在新冠肺炎诊断中的作用、新冠肺炎在整个病程中的典型CT表现、鉴别诊断以及人工智能作为诊断和治疗工具在该患者群体中的应用进行综述。
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