Table 1.
Variables | N | % | |
---|---|---|---|
Age (40.77 ± 6.79) |
Less than 35 | 42 | 30.0% |
36–40 | 30 | 21.4% | |
Above 40 | 68 | 48.6% | |
Experience (10.84 ± 6.49) |
Less than 6 | 59 | 42.1% |
7–11 | 26 | 18.6% | |
More than 11 | 55 | 39.3% | |
Gender | Male | 80 | 57.1% |
Female | 60 | 42.9% | |
Department | Surgery | 24 | 17.1% |
Pathology | 31 | 22.1% | |
Radiology | 35 | 25.0% | |
Gynecology | 33 | 23.6% | |
Pediatrics | 17 | 12.1% | |
Do you think hospitals are ready to accept AI-driven diagnostic tools as a new tool | Yes | 34 | 24.3% |
No | 81 | 57.9% | |
To some extent | 25 | 17.9% | |
Do you think AI is the future? | Yes | 71 | 50.7% |
No | 41 | 29.3% | |
To some extent | 28 | 20.0% | |
Knowledge about AI | Poor | 21 | 15.0% |
Average | 41 | 29.3% | |
Above average | 54 | 37.1% | |
Excellent | 24 | 16.4% |