Table 5. Influence of artificial intelligence (AI) on students’ perceptions and specialty choices by gender, technology familiarity, and academic cycle.
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) | ||||
Certain specialties will be replaced by AI. | .16 | .23 | .35 | |||||||
Yes | 199 (60.1) | 132 (39.9) | 126 (38.1) |
129 (39.0) | 76 (23.0) | 136 (41.1) |
195 (58.9) | |||
No | 164 (65.9) | 85 (34.1) | 87 (34.9) |
99 (39.8) | 63 (25.3) | 112 (45.0) | 137 (55.0) | |||
I might not choose a specialty like radiology because of AI. | .82 | <.001 b | <.001 | |||||||
Yes | 206 (63.0) |
121 (37.0) | 138 (42.2) |
128 (39.1) | 61 (18.7) | 119 (48.0) | 208 (62.7) | |||
No | 157 (62.1) |
96 (37.9) | 75 (29.6) |
100 (39.5) | 78 (30.8) | 129 (52.0) | 124 (37.3) |
Percentages are calculated based on the total number in each row per category.
Italicized values indicate statistically significant differences between subgroups based on the corresponding P values (<.05).