Table 3.
Analysis result of representative questions regarding AI-related perceptions, confidence, predictions, and perceived prospects according to the multivariable factors
| Perceptions | Confidence | Predictions | Perceived prospects | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| High interest in AI (Q1) | Performance superiority of AI (Q6) | AI commercialization at university hospital (Q11) | High usefulness of AI (Q13) | ||||||||||
| aOR | 95% CI | p | aOR | 95% CI | p | aOR | 95% CI | p | aOR | 95% CI | p | ||
| Position | Dental student | 1.644 | 0.562–4.809 | 0.364 | 0.612 | 0.211–1.775 | 0.366 | 1.378 | 0.544–3.490 | 0.499 | 1.500 | 0.531–4.237 | 0.444 |
| Dentist | (ref.) | ||||||||||||
| Age | ≤ 30 | 0.769 | 0.266–2.222 | 0.627 | 1.878 | 0.647–5.452 | 0.246 | 0.720 | 0.286–1.812 | 0.486 | 0.794 | 0.284–2.226 | 0.662 |
| > 30 | (ref.) | ||||||||||||
| Sex | Male | 1.605 | 0.856–3.012 | 0.140 | 1.785 | 0.869–3.669 | 0.115 | 0.703 | 0.391–1.264 | 0.239 | 1.037 | 0.539–1.994 | 0.914 |
| Female | (ref.) | ||||||||||||
| Residence | Seoul | 0.883 | 0.473–1.647 | 0.696 | 0.851 | 0.448–1.619 | 0.624 | 1.397 | 0.804–2.427 | 0.235 | 1.033 | 0.555–1.922 | 0.918 |
| Other areas | (ref.) | ||||||||||||
|
Self-reported knowledge level about AI |
High | 24.345 | 5.669–104.541 | < 0.001* | 0.973 | 0.467–2.027 | 0.941 | 1.163 | 0.610–2.217 | 0.647 | 1.340 | 0.632–2.841 | 0.445 |
| Not high | (ref.) | ||||||||||||
AI artificial intelligence, aOR adjusted odds ratio, CI confidence interval, p p-value, ref. reference category
Logistic regression analysis; p < 0.05