Table 4. Comparative analysis of perception of artificial intelligence (AI) in medical education by gender, academic cycle, and familiarity with technology.
| Question and response | By gender, n (%)a | P value | By academic cycle, n (%)a | P value | By familiarity with technology, n (%)a | P value | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Female (n=363) | Male (n=217) | First (n=213) | Second (n=228) | Third (n=139) | Knowledgeable (n=248) | Not knowledgeable (n=332) | ||||
| AI should be part of medical education. | .39 | .23 | .16 | |||||||
| Yes | 325 (62.0) | 199 (38.0) | 193 (35.8) |
216 (40.1) | 130 (24.1) | 229 (43.7) | 295 (56.3) | |||
| No | 38 (67.9) |
18 (32.1) | 20 (48.8) |
12 (29.3) | 9 (22.0) | 19 (33.9) | 37 (66.1) | |||
| AI education will benefit my career. | .91 | .04 b | .26 | |||||||
| Yes | 337 (62.5) | 202 (37.5) | 184 (35.1) |
210 (40.1) | 130 (24.8) | 227 (42.1) | 312 (57.9) | |||
| No | 26 (63.4) | 15 (36.6) | 29 (51.8) |
18 (32.1) | 9 (16.1) | 21 (51.2) |
20 (48.8) | |||
| AI will improve learning conditions. | .64 | .048 | .85 | |||||||
| Yes | 343 (62.8) |
203 (37.2) | 194 (35.5) | 220 (40.3) | 132 (24.2) | 234 (42.9) | 312 (57.1) | |||
| No | 20 (58.8) | 14 (41.2) | 19 (55.9) | 8 (23.5) | 7 (22.6) | 14 (41.2) | 20 (58.8) | |||
| I will be able to use AI tools in health care after graduation. | .15 | .03 | <.001 | |||||||
| Yes | 183 (65.6) |
96 (34.4) | 88 (31.5) |
115 (41.2) | 76 (27.2) | 158 (56.6) | 121 (43.4) | |||
| No | 180 (59.8) | 121 (40.2) | 125 (41.5) |
113 (37.5) | 63 (20.9) | 90 (29.9) | 211 (70.1) | |||
a
Percentages are calculated based on the total number in each row per category.
b
Italicized values in the table indicate statistically significant differences between subgroups based on the corresponding P values (<.05).