| REVIEW ARTICLE |
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| Year : 2022 | Volume
: 9
| Issue : 2 | Page : 62-67 |
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Computed tomography-aided diagnosis of COVID-19
Xiao Chen1, Qiuyuan Yang1, Haijun He1, Caiqiong Wang1, Zefei Peng1, Yingchun Liu1, Peiqi Wang1, Jialei Wu2, Bin Yang2
1 Department of Clinical Medicine, Dali University, Dali, China
2 Department of Medical Imaging, Calmette Hospital, The First Hospital of Kunming, Kunming, China
Correspondence Address:
Bin Yang
Department of Medical Imaging, Calmette Hospital, The First Hospital of Kunming, Kunming Yunnan
China
 Source of Support: None, Conflict of Interest: None
DOI: 10.4103/RID.RID_23_22
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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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