Table 4.
Results of the evaluation regarding the decision CAP or COVID-19 pneumonia
| Without AI assistance | With AI assistance | |
|---|---|---|
| Accuracy (%) | 79.1 | 81.5* |
| Sensitivity (%) | 79.0 | 71.4* |
| Specificity (%) | 79.2 | 91.5* |
| Time (mean) | 36.2 ± 22.1 sec | 26.9 ± 10.8 sec ** |
| Mean confidence | 2.53 | 2.20 |
| Confidence regarding the diagnosis (n) | Very certain diagnosis: 229 | Very certain diagnosis: 349* |
| Certain diagnosis: 535 | Certain diagnosis: 550 | |
| Likely diagnosis: 422 | Likely diagnosis: 445 | |
| Uncertain diagnosis: 217 | Uncertain diagnosis: 83** | |
| Very uncertain “ambiguous” diagnosis: 37 | Very uncertain “ambiguous” diagnosis: 13** |
COVID-19, coronavirus disease 2019; CAP, community-acquired pneumonia; AI, artificial intelligence; sec, second; n, number; *sig. p < .05; **sig. p < .01