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Table 3 Decisions in readers before and after referencing CAD output

From: Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study

CAD results TP TN FN FP
Reader results     
Before CAD use FN FP TP TN
After CAD use TP FN TN FP FN TP FP TN
General physicians
 Reader 1 11 3 2 5 0 1 3 8
 Reader 2 8 6 5 9 0 2 1 10
 Reader 3 9 9 0 2 0 1 0 11
 Reader 4 6 11 1 9 0 3 0 11
 Reader 5 7 4 4 0 0 1 2 9
 Reader 6 16 8 13 3 0 0 6 4
 Reader 7 4 2 0 18 0 2 0 9
 Reader 8 3 0 3 1 0 2 1 9
 Reader 9 4 5 1 5 0 4 1 10
 All general physicians 68 48 29 52 0 16 14 81
Radiologists
 Reader 10 7 4 2 13 0 1 4 7
 Reader 11 5 4 0 6 0 1 0 11
 Reader 12 7 5 2 0 0 2 2 9
 Reader 13 11 10 11 2 1 1 2 9
 Reader 14 6 4 0 13 0 2 7 3
 Reader 15 2 6 5 7 0 4 2 8
 Reader 16 1 8 0 2 0 4 0 11
 Reader 17 3 8 0 10 0 3 0 11
 Reader 18 7 3 4 5 0 2 4 5
 All radiologists 49 52 24 58 1 20 21 74
  1. Data are n. CAD: computer-assisted detection, FN: false negative, TP: true positive, FP: false positive, TN: true negative