Fig. 5.

Examples of the included cases, each with the correct AI result and the respective performance data of the radiologists' readings. a Correct AI classification. Using this result, all eight radiologists decided on the correct diagnosis, whereas without AI assistance, two were incorrect. Overall, this resulted in a faster reporting time and a higher degree of confidence. The right centrally located ground-glass opacities and beginning consolidations could have been the causative factor for the radiologists’ partially wrong result without AI assistance. b Only four of eight radiologists in the initial round without AI correctly classified images of viral non-Covid pneumonia, which could be due to the discrete, predominantly peripheral infiltrates. The AI correctly classified the image, resulting in a mainly correct diagnosis with a higher degree of confidence by the radiologists in the AI-assisted round (seven of eight now made a correct decision)