Table 7.
Attitude toward AI based on gender, age, qualification level, professional, current status and rank of the doctor.
Attitude toward of artificial intelligence | ||||||
---|---|---|---|---|---|---|
Negative | Positive | P-value | ||||
Frequency | Percentage | Frequency | Percentage | |||
Age | 21–30 | 445 | 29.5% | 1,007 | 66.8% | 0.013* |
31–40 | 13 | 0.9% | 12 | 0.8% | ||
41–50 | 2 | 0.1% | 2 | 0.1% | ||
51–60 | 4 | 0.3% | 4 | 0.3% | ||
60< | 4 | 0.3% | 1 | 0.1% | ||
Gender | Male | 215 | 14.3% | 564 | 37.4% | 0.001* |
Female | 255 | 16.9% | 463 | 30.7% | ||
Qualification level | Undergraduate | 383 | 25.3% | 869 | 57.3% | 0.086 |
Graduate | 92 | 6.2% | 163 | 11.2% | ||
If undergraduate, then which professional? | 1st professional | 49 | 3.3% | 77 | 5.1% | 0.000* |
2nd professional | 49 | 3.3% | 65 | 4.3% | ||
3rd professional | 66 | 4.4% | 79 | 5.2% | ||
4th professional | 37 | 2.5% | 45 | 3% | ||
5th professional | 98 | 6.5% | 188 | 12.5% | ||
6th professional | 78 | 5.2% | 398 | 26.4% | ||
Graduate | 98 | 6.5% | 180 | 11.9% | ||
If graduate, then current status | Student | 401 | 26.6% | 876 | 58.1% | 0.912 |
Resident | 56 | 3.7% | 126 | 8.4% | ||
Medical practitioner | 9 | 0.6% | 15 | 1.0% | ||
Senior house officer | 6 | 0.4% | 11 | 0.7% | ||
House officer | 3 | 0.2% | 4 | 0.3% | ||
If postgraduate, specify the rank: | Student | 403 | 26.7% | 881 | 58.5% | 0.659 |
Resident | 60 | 4.0% | 133 | 8.8% | ||
Senior registrar | 5 | 0.3% | 7 | 0.5% | ||
Assistant professor | 6 | 0.4% | 6 | 0.4% | ||
Associate professor | 0 | 0.0% | 1 | 0.1% | ||
Professor | 1 | 0.1% | 4 | 0.3% |
P-value < 0.05.