• Users Online: 78
  • Print this page
  • Email this page
Year : 2022  |  Volume : 9  |  Issue : 2  |  Page : 62-67

Computed tomography-aided diagnosis of COVID-19

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
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/RID.RID_23_22

Rights and Permissions

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.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded52    
    Comments [Add]    

Recommend this journal