Table 3.
Differences in the effect of AI on choice of specialty based on demographics.
| Characteristic | The development of AI | ||
|---|---|---|---|
| (n = 206) | affecting the choice of specialty | ||
| Yes = 54 | No = 152 | P- | |
| (26.2%) | (73.8%) | value | |
| Gender | |||
| Female (87) | 20 | 67 | 0.368* |
| Male (119) | 34 | 85 | |
| Academic level | |||
| Clinical (124) | 29 | 95 | 0.257* |
| Preclinical (82) | 25 | 57 | |
| Undergraduate major | |||
| Biology (132) | 29 | 103 | 0.417* |
| Chemistry (21) | 6 | 15 | |
| Physics (6) | 2 | 4 | |
| Social science (12) | 4 | 8 | |
| Other (35) | 13 | 22 | |
| Score | |||
| Knowledge | 8.59 ± 2.76 | 7.50 ± 2.73 | 0.013** |
| Attitude | 2.87 ± 0.91 | 3.05 ± 0.08 | 0.240** |
*Chi-squared test.
**ANOVA.