Table 2.
Participants’ perception of AI toward patient care
| Question | 4th year | 5th year | Interns | |
|---|---|---|---|---|
| N (%) | p | |||
| Use of AI to analyse patient information to reach diagnoses | ||||
| Extremely likely/likely | 42 (58.4) | 38 (54.3) | 56 (59.6) | 0.6504 |
| Extremely unlikely/unlikely | 23 (31.9) | 26 (37.1) | 28 (29.8) | |
| Uncertain | 7 (9.7) | 6 (8.6) | 10 (10.6) | |
| Use of AI to read and interpret diagnostic imaging | ||||
| Extremely likely/likely | 51 (70.8) | 53 (75.7) | 72 (76.6) | 0.486 |
| Extremely unlikely/unlikely | 17 (23.6) | 13 (18.6) | 15 (15.9) | |
| Uncertain | 4 (5.6) | 4 (5.7) | 7 (7.5) | |
| Use of AI to evaluate when to refer patients to specialists | ||||
| Extremely likely/likely | 44 (61.1) | 38 (54.3) | 53 (56.4) | 0.624 |
| Extremely unlikely/unlikely | 22 (30.6) | 27 (38.6) | 32 (34) | |
| Uncertain | 6 (8.3) | 5 (7.1) | 9 (9.6) | |
| Use of AI to formulate a treatment plan | ||||
| Extremely likely/likely | 43 (59.7) | 38 (54.3) | 52 (55.3) | 0.712 |
| Extremely unlikely/unlikely | 23 (31.9) | 27 (38.6) | 30 (31.9) | |
| Uncertain | 6 (8.4) | 5 (7.1) | 12 (12.8) | |
Significance level < 0.05, pp value (chi-square test)