Fig. 2: Performance of the AI reader on the retrospective cohort.

A The AI reader ROC curve compared with the weighted mean individual reader and reader consensus. The AI reader achieved an AUC of 0.932 (95% CI 0.923, 0.940, n = 149,105 screening episodes) above the weighted mean individual reader performance (95.6% specificity, 66.7% sensitivity) but below the reader consensus performance (96.1% specificity, 79.8% sensitivity; standard of care). The weighted mean individual reader (black circle; n = 125 readers) is the mean sensitivity and specificity of all the individual readers (grey circles) weighted by their respective total number of reads. B, C AI reader compared against 81 individual readers (min. 1000 reads). An optimal point from each AI reader ROC curve is shown for each comparison. We show separately human readers for which both sensitivity and specificity of the AI reader point was greater than or equal to the reader (B; 74 readers, 91.3% of readers; 253,328 reads, 88.3% of reads) and readers for which the AI reader is less than or equal to the human reader in either sensitivity or specificity (C; 7 readers, 8.6%; 33,525 reads, 11.7%). Source data are provided as a Source Data file.