Table 1.
Respondent Demographics and Median Knowledge Toward AI Score Among Different Subgroups of Respondents
| Characteristic | Number (%) | Median Score | P-value |
|---|---|---|---|
| Gender | |||
| Male | 91 (42.1) | 11 | 0.084 |
| Female | 125 (57.9) | 11 | |
| Year of study | |||
| Year 1 (basic sciences) | 83 (38.4) | 11 | 0.006 |
| Year 3 (basic sciences) | 4 (1.9) | 11 | |
| Year 4 (clinical sciences) | 23 (10.6) | 11 | |
| Year 5 (clinical sciences) | 45 (20.8) | 13 | |
| Internship | 61 (28.2) | 11 | |
| Additional training in AI, ML | |||
| Yes | 21 (9.7) | 11 | 0.344 |
| No | 195 (90.3) | 11 | |
| Attended or viewed any talks or lectures on AI? | |||
| Yes | 46 (21.3) | 12 | 0.040 |
| No | 170 (91.7) | 11 | |
| Training in programming/coding | |||
| Yes | 9 (4.2) | 11 | 0.921 |
| No | 206 (95.8) | 11 | |
| Category | |||
| Self-financing | 196 (90.7) | 11 | 0.881 |
| Scholarship | 20 (9.3) | 11 |
Note: Bold value represents statistically significant results.