Wang et al. (2020), China  Retrospective cohort/Xi'an Jiaotong University First Affiliated Hospital, Nanchang University First Hospital and Xi'an No.8 Hospital of Xi'an Medical College  99  CT, artificial intelligence, inception migration‐learning model  –  Pathogen‐confirmed COVID‐19 patients  Spectrum of disease: typical viral pneumonia or negative group: 55, confirmed nucleic acid testing or positive group: 44. CT (453 CT images): negative: 258, positive: 195  Viral pneumonia symptoms  –  –  Screening:
The internal validation; accuracy: 82·9%, specificity: 80·5%, sensitivity: 84%
The external testing; accuracy: 73·1%, specificity: 67%, sensitivity: 74%
Algorithm prediction: a rate of 2 s per case on the graphic processing unit
Interpretation: the early diagnosis through fast, accurate, safe and noninvasive methods is crucial for control of virus