Table 10.
Practice of AI based on gender, age, qualification level, professional, current status and rank of the doctors.
| Practice of artificial intelligence | ||||||
|---|---|---|---|---|---|---|
| Poor | Good | P-value | ||||
| Frequency | Percentage | Frequency | Percentage | |||
| Age | 21–30 | 1,245 | 82.6% | 207 | 13.7% | *0.002 |
| 31–40 | 16 | 1.1% | 9 | 0.6% | ||
| 41–50 | 2 | 0.1% | 2 | 0.1% | ||
| 51–60 | 5 | 0.3% | 3 | 0.2% | ||
| 60< | 5 | 0.3% | 0 | 0.0% | ||
| Gender | Male | 676 | 44.9% | 103 | 6.8% | 0.058 |
| Female | 598 | 39.7% | 120 | 8.0% | ||
| Qualification level | Undergraduate | 1,102 | 72.8% | 150 | 9.8% | *0.000 |
| Graduate | 182 | 12.5% | 73 | 5.1% | ||
| If undergraduate, then which professional? | 1st professional | 113 | 7.5% | 13 | 0.9% | * 0.000 |
| 2nd professional | 98 | 6.5% | 16 | 1.1% | ||
| 3rd professional | 129 | 8.6% | 16 | 1.1% | ||
| 4th professional | 70 | 4.6% | 12 | 0.8% | ||
| 5th professional | 243 | 16.1% | 43 | 2.9% | ||
| 6th professional | 431 | 28.6% | 45 | 3% | ||
| Graduate | 200 | 13.3% | 78 | 5.2% | ||
| If graduate, then current status | Student | 1,125 | 74.7% | 152 | 10.1% | *0.000 |
| Resident | 132 | 8.8% | 50 | 3.3% | ||
| Medical practitioner | 13 | 0.9% | 11 | 0.7% | ||
| Senior house officer | 10 | 0.7% | 7 | 0.5% | ||
| House officer | 4 | 0.3% | 3 | 0.2% | ||
| If postgraduate, specify the rank: | Student | 1,132 | 75.1% | 152 | 10.1% | *0.000 |
| Resident | 138 | 9.2% | 55 | 3.6% | ||
| Senior registrar | 7 | 0.5% | 5 | 0.3% | ||
| Assistant professor | 7 | 0.5% | 5 | 0.3% | ||
| Associate professor | 0 | 0.0% | 1 | 0.1% | ||
| Professor | 0 | 0.0% | 5 | 0.3% | ||
P-value < 0.05.