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. 2020 Oct 9;11:5088. doi: 10.1038/s41467-020-18685-1

Table 2.

Metrics of the AI system.

Task AUC (95% CI) Sensitivity (95% CI) Specificity (95% CI)
a
Non-pneumonia diagnosis 0.9752 (0.9726–0.9783) 0.9343 (0.9290–0.9429) 0.9801 (0.9778–0.9827)
CAP diagnosis 0.9804 (0.9776–0.9837) 0.9687 (0.9634–0.9741) 0.9407 (0.9366–0.9448)
Influenza-A/B diagnosis 0.9885 (0.9861–0.9928) 0.8307 (0.7962–0.8696) 0.9945 (0.9936–0.9960)
COVID-19 diagnosis 0.9745 (0.9722–0.9771) 0.8703 (0.8620–0.8784) 0.9660 (0.9629–0.9693)
Multi-way metrics 0.9781 (0.9756–0.9804) 0.9151 (0.9115–0.9193) (the metric changed to accuracy)
b
Normal diagnosis 0.9541 (0.9511–0.9574) 0.8561 (0.8471–0.8661) 0.9524 (0.9494–0.9563)
Common pneumonia diagnosis 0.9098 (0.9058–0.9139) 0.8823 (0.8759–0.8904) 0.8685 (0.8628–0.8745)
COVID-19 diagnosis 0.9212 (0.9175–0.9255) 0.7799 (0.7706–0.7893) 0.9355 (0.9315–0.9397)
Multi-way metrics 0.9299 (0.927–0.933) 0.8435 (0.8391–0.8483) (the metric changed to accuracy)
c
COVID-19 diagnosis on MosMedData cohort 0.9325 (0.9257–0.9382) 0.9446 (0.9379–0.9510) 0.6613 (0.6359–0.6855)
d
CT COVID-19 diagnosis 0.9847 (0.9822–0.9877) 0.9762 (0.9718–0.98110) 0.91250 (0.8975–0.9301)
CXR COVID-19 diagnosis 0.9527 (0.9474–0.9583) 0.9623 (0.9570–0.9673) 0.7155 (0.6918–0.7436)
Result-level fusion 0.9894 (0.9873–0.9917) 0.9469 (0.9399–0.9543) 0.9503 (0.9371–0.9627)
e
Pneumonia-or-non-pneumonia cohort 0.9869 (0.9818–0.9993) 0.9404 (0.9210–0.9756) 1.0000 (1.0000–1.0000)
CAP-or-COVID-19 cohort 0.9727 (0.9637–0.9825) 0.9591 (0.9459–0.9767) 0.9199 (0.8947–0.9512)
Influenza-or-COVID-19 cohort 0.9585 (0.9413–0.9813) 0.94961 (0.93333–1.0) 0.8331 (0.7826–0.8846)
f
Lung segmentation 0.9255 (0.6018–0.9732) 0.9660 (0.7553–0.9918) 0.9956 (0.9787–0.9983)
g
COVID-infectious slices locating 0.9559 (0.9532–0.9586) 0.8009 (0.79323–0.8094) 0.9636 (0.9607–0.9666)

a Metrics on test cohort. b Metrics on CC-CCII test cohort. c Metrics on MosMedData test cohort. d Metrics on comparation between CT and XCT on paired data of test cohort. e Metrics on three reader study tasks. f Lung segmentation performances. g COVID-infectious slices locating.