Table 3.
Distribution of answers to questions regarding attitudes and feelings about AI.
| Question | Strongly disagree | Disagree | Neither agree nor disagree | Agree | Strongly agree | I don't know | Score increase per age interval (95% CI) | P-value | Holm corrected P-value | Sex; Score difference (95% CI) [Ref. Female] | P-value | Holm corrected P-value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AI will revolutionize Medicine in general. | 3 (0.4%) | 59 (8.2%) | 122 (17.0%) | 405 (56.4%) | 129 (18.0%) | 0 (0.0%) | 0.02 (−0.04, 0.071) | 0.56 | 1 | 0.21 (0.08, 0.33) | 0.001 | 0.046 |
| AI will revolutionize dermatopathology. | 7 (1.0%) | 64 (8.9%) | 190 (26.5%) | 322 (44.8%) | 113 (15.7%) | 22 (3.1%) | 0.02 (−0.04, 0.08) | 0.52 | 1 | 0.16 (0.02, 0.30) | 0.023 | 0.80 |
| AI will revolutionize dermatopathology more than other subfields within pathology. | 22 (3.1%) | 217 (30.2%) | 304 (42.3%) | 96 (13.4%) | 37 (5.2%) | 42 (5.8%) | −0.01 (−0.07, 0.05) | 0.79 | 1 | −0.02 (−0.16, 0.12) | 0.74 | 1 |
| In the foreseeable future all physicians will be replaced by AI. | 250 (34.8%) | 342 (47.6%) | 70 (9.7%) | 26 (3.6%) | 17 (2.4%) | 13 (1.8%) | 0.01 (−0.06, 0.07) | 0.84 | 1 | −0.01 (−0.15, 0.13) | 0.91 | 1 |
| The human pathologist will be replaced by AI in the foreseeable future. | 248 (34.5%) | 337 (46.9%) | 66 (9.2%) | 30 (4.2%) | 14 (1.9%) | 23 (3.2%) | 0.03 (−0.03, 0.09) | 0.28 | 1 | 0.09 (−0.05, 0.22) | 0.23 | 1 |
| A development with an increased use of AI in dermatopathology frightens me. | 78 (10.9%) | 320 (44.6%) | 204 (28.4%) | 93 (13.0%) | 23 (3.2%) | 0 (0.0%) | −0.01 (−0.08, 0.05) | 0.65 | 1 | −0.17 (−0.32, −0.03) | 0.022 | 0.79 |
| A development with an increased use of AI in dermatopathology makes dermatopathology more exciting to me. | 12 (1.7%) | 69 (9.6%) | 210 (29.2%) | 340 (47.4%) | 87 (12.1%) | 0 (0.0%) | −0.03 (−0.09, 0.03) | 0.35 | 1 | 0.18 (0.05, 0.31) | 0.009 | 0.34 |
| A development with an increased use of AI makes medicine in general more exciting to me. | 8 (1.1%) | 60 (8.4%) | 186 (25.9%) | 371 (51.7%) | 93 (13.0%) | 0 (0.0%) | 0.01 (−0.05, 0.07) | 0.73 | 1 | 0.17 (0.05, 0.30) | 0.008 | 0.33 |
| AI will improve dermatopathology | 6 (0.8%) | 36 (5.0%) | 126 (17.5%) | 425 (59.2%) | 94 (13.1%) | 31 (4.3%) | 0.01 (−0.04, 0.06) | 0.64 | 1 | 0.20 (0.09, 0.32) | 0.001 | 0.034 |
| AI will improve medicine in general. | 3 (0.4%) | 20 (2.8%) | 93 (13.0%) | 464 (64.6%) | 116 (16.2%) | 22 (3.1%) | 0.00 (−0.04, 0.05) | 0.84 | 1 | 0.26 (0.15, 0.36) | <0.0001 | <0.0001 |
| AI should be part of medical training. | 6 (0.8%) | 19 (2.6%) | 72 (10.0%) | 441 (61.4%) | 163 (22.7%) | 17 (2.4%) | 0.06 (0.01, 0.11) | 0.017 | 0.62 | 0.10 (−0.01, 0.21) | 0.081 | 1 |
| I consider myself well-informed about the use of modern technology, especially computers. | 3 (0.4%) | 59 (8.2%) | 122 (17.0%) | 405 (56.4%) | 129 (18.0%) | 0 (0.0%) | −0.03 (−0.09, 0.03) | 0.31 | 1 | 0.18 (0.05, 0.30) | 0.0064 | 0.26 |
The five possible answers were transformed to a numeric score (1–5) used as the dependent variable and a linear regression model with both sex and age group as predictors was used with the coefficients, 95% CI and P-values included in the table. The age groups are used as numeric values in the regression model, i.e., numbers ranging from 1 to 7. All “I don't know” answers were excluded from the regression model. AI, artificial intelligence; CI, confidence interval. Bold values indicates the singificant values P < 0.05.