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. 2022 May 2;94(8):3698–3705. doi: 10.1002/jmv.27777

Table 3.

Results of four pulmonologists without and with AI assistance on test set in distinguishing COVID‐19 from community‐acquired pneumonia.

Evaluation metrics Binomial distribution (McNemar)
Accuracy Sensitivity Specificity
Without AI With AI Delta Without AI With AI Delta Without AI With AI Delta p
Pulmonologist‐1 0.825 0.916 0.091 0.826 0.853 0.027 0.824 0.965 0.141 <0.001
Pulmonologist‐2 0.793 0.904 0.111 0.587 0.798 0.211 0.951 0.986 0.035 0.031
Pulmonologist‐3 0.781 0.880 0.099 0.716 0.807 0.091 0.831 0.937 0.106 0.006
Pulmonologist‐4 0.797 0.857 0.060 0.670 0.706 0.036 0.894 0.972 0.078 0.007
Pulmonologists average 0.799 0.889 0.090 0.700 0.791 0.091 0.875 0.965 0.090 <0.001

Abbreviations: AI, artificial intelligence; COVID‐19, coronavirus disease 2019.